From 6be03132b53f72040d45a10a7eacdae02c109ff2 Mon Sep 17 00:00:00 2001 From: LukasMasuch Date: Thu, 7 Dec 2023 15:23:18 +0000 Subject: [PATCH] Update best-of list for version 2023.12.07 --- README.md | 3532 +++++++++++++++---------------- history/2023-12-07_changes.md | 30 + history/2023-12-07_projects.csv | 917 ++++++++ latest-changes.md | 40 +- 4 files changed, 2717 insertions(+), 1802 deletions(-) create mode 100644 history/2023-12-07_changes.md create mode 100644 history/2023-12-07_projects.csv diff --git a/README.md b/README.md index 0a272488..f8d2d1ba 100644 --- a/README.md +++ b/README.md @@ -101,12 +101,12 @@ _General-purpose machine learning and deep learning frameworks._
Tensorflow (🥇54 · ⭐ 180K) - An Open Source Machine Learning Framework for Everyone. Apache-2 -- [GitHub](https://github.com/tensorflow/tensorflow) (👨‍💻 4.5K · 🔀 89K · 📦 320K · 📋 39K - 5% open · ⏱️ 30.11.2023): +- [GitHub](https://github.com/tensorflow/tensorflow) (👨‍💻 4.5K · 🔀 89K · 📦 330K · 📋 39K - 5% open · ⏱️ 07.12.2023): ``` git clone https://github.com/tensorflow/tensorflow ``` -- [PyPi](https://pypi.org/project/tensorflow) (📥 17M / month · 📦 15K · ⏱️ 14.11.2023): +- [PyPi](https://pypi.org/project/tensorflow) (📥 17M / month · 📦 15K · ⏱️ 05.12.2023): ``` pip install tensorflow ``` @@ -114,19 +114,19 @@ _General-purpose machine learning and deep learning frameworks._ ``` conda install -c conda-forge tensorflow ``` -- [Docker Hub](https://hub.docker.com/r/tensorflow/tensorflow) (📥 75M · ⭐ 2.2K · ⏱️ 30.11.2023): +- [Docker Hub](https://hub.docker.com/r/tensorflow/tensorflow) (📥 75M · ⭐ 2.2K · ⏱️ 07.12.2023): ``` docker pull tensorflow/tensorflow ```
PyTorch (🥇54 · ⭐ 73K) - Tensors and Dynamic neural networks in Python with strong GPU.. BSD-3 -- [GitHub](https://github.com/pytorch/pytorch) (👨‍💻 4.5K · 🔀 20K · 📥 28K · 📦 350K · 📋 39K - 33% open · ⏱️ 30.11.2023): +- [GitHub](https://github.com/pytorch/pytorch) (👨‍💻 4.5K · 🔀 20K · 📥 29K · 📦 360K · 📋 39K - 33% open · ⏱️ 07.12.2023): ``` git clone https://github.com/pytorch/pytorch ``` -- [PyPi](https://pypi.org/project/torch) (📥 15M / month · 📦 12K · ⏱️ 15.11.2023): +- [PyPi](https://pypi.org/project/torch) (📥 16M / month · 📦 12K · ⏱️ 15.11.2023): ``` pip install torch ``` @@ -137,7 +137,7 @@ _General-purpose machine learning and deep learning frameworks._
scikit-learn (🥇52 · ⭐ 57K) - scikit-learn: machine learning in Python. BSD-3 -- [GitHub](https://github.com/scikit-learn/scikit-learn) (👨‍💻 3K · 🔀 25K · 📥 920 · 📦 650K · 📋 11K - 20% open · ⏱️ 29.11.2023): +- [GitHub](https://github.com/scikit-learn/scikit-learn) (👨‍💻 3K · 🔀 25K · 📥 920 · 📦 650K · 📋 11K - 20% open · ⏱️ 06.12.2023): ``` git clone https://github.com/scikit-learn/scikit-learn @@ -146,19 +146,19 @@ _General-purpose machine learning and deep learning frameworks._ ``` pip install scikit-learn ``` -- [Conda](https://anaconda.org/conda-forge/scikit-learn) (📥 26M · ⏱️ 25.10.2023): +- [Conda](https://anaconda.org/conda-forge/scikit-learn) (📥 26M · ⏱️ 07.12.2023): ``` conda install -c conda-forge scikit-learn ```
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Keras (🥇46 · ⭐ 60K · 📉) - Deep Learning for humans. Apache-2 +
Keras (🥇47 · ⭐ 60K · 📈) - Deep Learning for humans. Apache-2 -- [GitHub](https://github.com/keras-team/keras) (👨‍💻 1.3K · 🔀 19K · 📦 21 · 📋 11K - 1% open · ⏱️ 30.11.2023): +- [GitHub](https://github.com/keras-team/keras) (👨‍💻 1.3K · 🔀 19K · 📦 21 · 📋 11K - 1% open · ⏱️ 06.12.2023): ``` git clone https://github.com/keras-team/keras ``` -- [PyPi](https://pypi.org/project/keras) (📥 13M / month · 📦 690 · ⏱️ 28.11.2023): +- [PyPi](https://pypi.org/project/keras) (📥 13M / month · 📦 700 · ⏱️ 06.12.2023): ``` pip install keras ``` @@ -167,46 +167,46 @@ _General-purpose machine learning and deep learning frameworks._ conda install -c conda-forge keras ```
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PySpark (🥇45 · ⭐ 37K) - Apache Spark Python API. Apache-2 +
jax (🥇46 · ⭐ 26K) - Composable transformations of Python+NumPy programs: differentiate,.. Apache-2 -- [GitHub](https://github.com/apache/spark) (👨‍💻 3K · 🔀 28K · ⏱️ 30.11.2023): +- [GitHub](https://github.com/google/jax) (👨‍💻 610 · 🔀 2.4K · 📦 20K · 📋 5K - 29% open · ⏱️ 07.12.2023): ``` - git clone https://github.com/apache/spark + git clone https://github.com/google/jax ``` -- [PyPi](https://pypi.org/project/pyspark) (📥 27M / month · 📦 1.2K · ⏱️ 26.09.2023): +- [PyPi](https://pypi.org/project/jax) (📥 4.1M / month · 📦 770 · ⏱️ 04.12.2023): ``` - pip install pyspark + pip install jax ``` -- [Conda](https://anaconda.org/conda-forge/pyspark) (📥 2.9M · ⏱️ 04.10.2023): +- [Conda](https://anaconda.org/conda-forge/jaxlib) (📥 1M · ⏱️ 25.10.2023): ``` - conda install -c conda-forge pyspark + conda install -c conda-forge jaxlib ```
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jax (🥇45 · ⭐ 26K) - Composable transformations of Python+NumPy programs: differentiate,.. Apache-2 +
PySpark (🥇45 · ⭐ 37K) - Apache Spark Python API. Apache-2 -- [GitHub](https://github.com/google/jax) (👨‍💻 600 · 🔀 2.3K · 📦 20K · 📋 5.1K - 30% open · ⏱️ 30.11.2023): +- [GitHub](https://github.com/apache/spark) (👨‍💻 3K · 🔀 28K · ⏱️ 07.12.2023): ``` - git clone https://github.com/google/jax + git clone https://github.com/apache/spark ``` -- [PyPi](https://pypi.org/project/jax) (📥 12M / month · 📦 730 · ⏱️ 02.11.2023): +- [PyPi](https://pypi.org/project/pyspark) (📥 27M / month · 📦 1.2K · ⏱️ 30.11.2023): ``` - pip install jax + pip install pyspark ``` -- [Conda](https://anaconda.org/conda-forge/jaxlib) (📥 1M · ⏱️ 25.10.2023): +- [Conda](https://anaconda.org/conda-forge/pyspark) (📥 2.9M · ⏱️ 04.10.2023): ``` - conda install -c conda-forge jaxlib + conda install -c conda-forge pyspark ```
pytorch-lightning (🥇45 · ⭐ 25K) - Deep learning framework to train, finetune and deploy.. Apache-2 -- [GitHub](https://github.com/Lightning-AI/pytorch-lightning) (👨‍💻 910 · 🔀 3.1K · 📥 14K · 📦 26K · 📋 6.7K - 10% open · ⏱️ 29.11.2023): +- [GitHub](https://github.com/Lightning-AI/pytorch-lightning) (👨‍💻 920 · 🔀 3.1K · 📥 14K · 📦 27K · 📋 6.7K - 10% open · ⏱️ 07.12.2023): ``` git clone https://github.com/Lightning-AI/lightning ``` -- [PyPi](https://pypi.org/project/pytorch-lightning) (📥 4.6M / month · 📦 740 · ⏱️ 15.11.2023): +- [PyPi](https://pypi.org/project/pytorch-lightning) (📥 4.7M / month · 📦 750 · ⏱️ 15.11.2023): ``` pip install pytorch-lightning ``` @@ -217,19 +217,19 @@ _General-purpose machine learning and deep learning frameworks._
PaddlePaddle (🥇45 · ⭐ 21K) - PArallel Distributed Deep LEarning: Machine Learning.. Apache-2 -- [GitHub](https://github.com/PaddlePaddle/Paddle) (👨‍💻 1.1K · 🔀 5.4K · 📥 15K · 📦 4.3K · 📋 18K - 10% open · ⏱️ 30.11.2023): +- [GitHub](https://github.com/PaddlePaddle/Paddle) (👨‍💻 1.1K · 🔀 5.4K · 📥 15K · 📦 4.4K · 📋 19K - 10% open · ⏱️ 07.12.2023): ``` git clone https://github.com/PaddlePaddle/Paddle ``` -- [PyPi](https://pypi.org/project/paddlepaddle) (📥 170K / month · 📦 88 · ⏱️ 25.10.2023): +- [PyPi](https://pypi.org/project/paddlepaddle) (📥 180K / month · 📦 89 · ⏱️ 25.10.2023): ``` pip install paddlepaddle ```
XGBoost (🥈44 · ⭐ 25K) - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or.. Apache-2 -- [GitHub](https://github.com/dmlc/xgboost) (👨‍💻 630 · 🔀 8.7K · 📥 7.7K · 📦 73K · 📋 5.1K - 7% open · ⏱️ 29.11.2023): +- [GitHub](https://github.com/dmlc/xgboost) (👨‍💻 630 · 🔀 8.7K · 📥 7.8K · 📦 74K · 📋 5.1K - 7% open · ⏱️ 06.12.2023): ``` git clone https://github.com/dmlc/xgboost @@ -245,12 +245,12 @@ _General-purpose machine learning and deep learning frameworks._
LightGBM (🥈43 · ⭐ 16K) - A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT,.. MIT -- [GitHub](https://github.com/microsoft/LightGBM) (👨‍💻 290 · 🔀 3.8K · 📥 210K · 📦 27K · 📋 3.2K - 10% open · ⏱️ 30.11.2023): +- [GitHub](https://github.com/microsoft/LightGBM) (👨‍💻 290 · 🔀 3.8K · 📥 210K · 📦 28K · 📋 3.2K - 10% open · ⏱️ 06.12.2023): ``` git clone https://github.com/microsoft/LightGBM ``` -- [PyPi](https://pypi.org/project/lightgbm) (📥 6.6M / month · 📦 840 · ⏱️ 12.09.2023): +- [PyPi](https://pypi.org/project/lightgbm) (📥 6.7M / month · 📦 850 · ⏱️ 12.09.2023): ``` pip install lightgbm ``` @@ -261,7 +261,7 @@ _General-purpose machine learning and deep learning frameworks._
StatsModels (🥈43 · ⭐ 9.1K) - Statsmodels: statistical modeling and econometrics in Python. BSD-3 -- [GitHub](https://github.com/statsmodels/statsmodels) (👨‍💻 420 · 🔀 2.8K · 📥 29 · 📦 110K · 📋 5.4K - 49% open · ⏱️ 29.10.2023): +- [GitHub](https://github.com/statsmodels/statsmodels) (👨‍💻 420 · 🔀 2.8K · 📥 30 · 📦 110K · 📋 5.4K - 49% open · ⏱️ 06.12.2023): ``` git clone https://github.com/statsmodels/statsmodels @@ -277,12 +277,12 @@ _General-purpose machine learning and deep learning frameworks._
Catboost (🥈41 · ⭐ 7.5K) - A fast, scalable, high performance Gradient Boosting on Decision.. Apache-2 -- [GitHub](https://github.com/catboost/catboost) (👨‍💻 1.2K · 🔀 1.1K · 📥 200K · 📦 11 · 📋 2.2K - 23% open · ⏱️ 30.11.2023): +- [GitHub](https://github.com/catboost/catboost) (👨‍💻 1.2K · 🔀 1.1K · 📥 200K · 📦 11 · 📋 2.2K - 24% open · ⏱️ 06.12.2023): ``` git clone https://github.com/catboost/catboost ``` -- [PyPi](https://pypi.org/project/catboost) (📥 2M / month · 📦 340 · ⏱️ 19.09.2023): +- [PyPi](https://pypi.org/project/catboost) (📥 2M / month · 📦 360 · ⏱️ 19.09.2023): ``` pip install catboost ``` @@ -291,62 +291,46 @@ _General-purpose machine learning and deep learning frameworks._ conda install -c conda-forge catboost ```
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Jina (🥈40 · ⭐ 19K) - Build multimodal AI applications with cloud-native stack. Apache-2 +
Fastai (🥈40 · ⭐ 25K · 📈) - The fastai deep learning library. Apache-2 -- [GitHub](https://github.com/jina-ai/jina) (👨‍💻 180 · 🔀 2.2K · 📦 1.3K · 📋 1.9K - 1% open · ⏱️ 24.11.2023): +- [GitHub](https://github.com/fastai/fastai) (👨‍💻 660 · 🔀 7.5K · 📦 16K · 📋 1.8K - 10% open · ⏱️ 02.12.2023): ``` - git clone https://github.com/jina-ai/jina - ``` -- [PyPi](https://pypi.org/project/jina) (📥 67K / month · 📦 16 · ⏱️ 20.11.2023): - ``` - pip install jina - ``` -- [Conda](https://anaconda.org/conda-forge/jina-core) (📥 58K · ⏱️ 16.06.2023): - ``` - conda install -c conda-forge jina-core + git clone https://github.com/fastai/fastai ``` -- [Docker Hub](https://hub.docker.com/r/jinaai/jina) (📥 1.3M · ⭐ 8 · ⏱️ 24.11.2023): +- [PyPi](https://pypi.org/project/fastai) (📥 510K / month · 📦 340 · ⏱️ 15.10.2023): ``` - docker pull jinaai/jina + pip install fastai ```
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Flax (🥈39 · ⭐ 4.9K) - Flax is a neural network library for JAX that is designed for.. Apache-2 +
Jina (🥈40 · ⭐ 19K) - Build multimodal AI applications with cloud-native stack. Apache-2 -- [GitHub](https://github.com/google/flax) (👨‍💻 210 · 🔀 550 · 📥 50 · 📦 5.2K · 📋 830 - 19% open · ⏱️ 30.11.2023): +- [GitHub](https://github.com/jina-ai/jina) (👨‍💻 180 · 🔀 2.2K · 📦 1.3K · 📋 1.9K - 0% open · ⏱️ 06.12.2023): ``` - git clone https://github.com/google/flax - ``` -- [PyPi](https://pypi.org/project/flax) (📥 9.9M / month · 📦 190 · ⏱️ 28.10.2023): - ``` - pip install flax + git clone https://github.com/jina-ai/jina ``` -- [Conda](https://anaconda.org/conda-forge/flax) (📥 38K · ⏱️ 09.11.2023): +- [PyPi](https://pypi.org/project/jina) (📥 68K / month · 📦 16 · ⏱️ 01.12.2023): ``` - conda install -c conda-forge flax + pip install jina ``` -
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Fastai (🥈38 · ⭐ 25K · 📉) - The fastai deep learning library. Apache-2 - -- [GitHub](https://github.com/fastai/fastai) (👨‍💻 660 · 🔀 7.5K · 📋 1.8K - 10% open · ⏱️ 01.11.2023): - +- [Conda](https://anaconda.org/conda-forge/jina-core) (📥 58K · ⏱️ 16.06.2023): ``` - git clone https://github.com/fastai/fastai + conda install -c conda-forge jina-core ``` -- [PyPi](https://pypi.org/project/fastai) (📥 530K / month · 📦 340 · ⏱️ 15.10.2023): +- [Docker Hub](https://hub.docker.com/r/jinaai/jina) (📥 1.3M · ⭐ 8 · ⏱️ 06.12.2023): ``` - pip install fastai + docker pull jinaai/jina ```
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PyFlink (🥈38 · ⭐ 22K · 📈) - Apache Flink Python API. Apache-2 +
PyFlink (🥈38 · ⭐ 22K) - Apache Flink Python API. Apache-2 -- [GitHub](https://github.com/apache/flink) (👨‍💻 1.8K · 🔀 13K · 📦 21 · ⏱️ 30.11.2023): +- [GitHub](https://github.com/apache/flink) (👨‍💻 1.8K · 🔀 13K · 📦 21 · ⏱️ 07.12.2023): ``` git clone https://github.com/apache/flink ``` -- [PyPi](https://pypi.org/project/apache-flink) (📥 78K / month · 📦 24 · ⏱️ 28.11.2023): +- [PyPi](https://pypi.org/project/apache-flink) (📥 75K / month · 📦 24 · ⏱️ 28.11.2023): ``` pip install apache-flink ``` @@ -358,7 +342,7 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/apache/incubator-mxnet ``` -- [PyPi](https://pypi.org/project/mxnet) (📥 330K / month · 📦 290 · ⏱️ 17.05.2022): +- [PyPi](https://pypi.org/project/mxnet) (📥 320K / month · 📦 290 · ⏱️ 17.05.2022): ``` pip install mxnet ``` @@ -369,12 +353,12 @@ _General-purpose machine learning and deep learning frameworks._
Theano (🥈38 · ⭐ 9.8K · 💤) - Theano was a Python library that allows you to define, optimize, and.. BSD-3 -- [GitHub](https://github.com/Theano/Theano) (👨‍💻 390 · 🔀 2.5K · 📦 14K · 📋 2.8K - 24% open · ⏱️ 20.12.2022): +- [GitHub](https://github.com/Theano/Theano) (👨‍💻 390 · 🔀 2.5K · 📦 15K · 📋 2.8K - 24% open · ⏱️ 20.12.2022): ``` git clone https://github.com/Theano/Theano ``` -- [PyPi](https://pypi.org/project/theano) (📥 300K / month · 📦 2.8K · ⏱️ 27.07.2020): +- [PyPi](https://pypi.org/project/theano) (📥 320K / month · 📦 2.8K · ⏱️ 27.07.2020): ``` pip install theano ``` @@ -383,26 +367,42 @@ _General-purpose machine learning and deep learning frameworks._ conda install -c conda-forge theano ```
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ivy (🥈36 · ⭐ 14K) - The Unified AI Framework. Apache-2 +
Flax (🥈38 · ⭐ 5K) - Flax is a neural network library for JAX that is designed for.. Apache-2 + +- [GitHub](https://github.com/google/flax) (👨‍💻 210 · 🔀 550 · 📥 50 · 📦 5.2K · 📋 830 - 19% open · ⏱️ 06.12.2023): + + ``` + git clone https://github.com/google/flax + ``` +- [PyPi](https://pypi.org/project/flax) (📥 2.2M / month · 📦 190 · ⏱️ 28.10.2023): + ``` + pip install flax + ``` +- [Conda](https://anaconda.org/conda-forge/flax) (📥 38K · ⏱️ 09.11.2023): + ``` + conda install -c conda-forge flax + ``` +
+
ivy (🥈35 · ⭐ 14K) - The Unified AI Framework. Apache-2 -- [GitHub](https://github.com/unifyai/ivy) (👨‍💻 1.4K · 🔀 6K · 📋 17K - 21% open · ⏱️ 30.11.2023): +- [GitHub](https://github.com/unifyai/ivy) (👨‍💻 1.4K · 🔀 6K · 📋 17K - 21% open · ⏱️ 07.12.2023): ``` git clone https://github.com/unifyai/ivy ``` -- [PyPi](https://pypi.org/project/ivy) (📥 410 / month · 📦 9 · ⏱️ 11.10.2023): +- [PyPi](https://pypi.org/project/ivy) (📥 430 / month · 📦 9 · ⏱️ 11.10.2023): ``` pip install ivy ```
Vowpal Wabbit (🥈35 · ⭐ 8.3K) - Vowpal Wabbit is a machine learning system which pushes the.. BSD-3 -- [GitHub](https://github.com/VowpalWabbit/vowpal_wabbit) (👨‍💻 330 · 🔀 2K · 📋 1.3K - 10% open · ⏱️ 17.11.2023): +- [GitHub](https://github.com/VowpalWabbit/vowpal_wabbit) (👨‍💻 330 · 🔀 2K · 📋 1.3K - 11% open · ⏱️ 17.11.2023): ``` git clone https://github.com/VowpalWabbit/vowpal_wabbit ``` -- [PyPi](https://pypi.org/project/vowpalwabbit) (📥 140K / month · 📦 34 · ⏱️ 19.07.2023): +- [PyPi](https://pypi.org/project/vowpalwabbit) (📥 120K / month · 📦 34 · ⏱️ 19.07.2023): ``` pip install vowpalwabbit ``` @@ -411,14 +411,14 @@ _General-purpose machine learning and deep learning frameworks._ conda install -c conda-forge vowpalwabbit ```
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einops (🥈35 · ⭐ 7.4K) - Deep learning operations reinvented (for pytorch, tensorflow, jax and.. MIT +
einops (🥈35 · ⭐ 7.5K) - Deep learning operations reinvented (for pytorch, tensorflow, jax and.. MIT -- [GitHub](https://github.com/arogozhnikov/einops) (👨‍💻 24 · 🔀 310 · 📦 21K · 📋 160 - 19% open · ⏱️ 11.10.2023): +- [GitHub](https://github.com/arogozhnikov/einops) (👨‍💻 24 · 🔀 320 · 📦 22K · 📋 160 - 19% open · ⏱️ 11.10.2023): ``` git clone https://github.com/arogozhnikov/einops ``` -- [PyPi](https://pypi.org/project/einops) (📥 5M / month · 📦 680 · ⏱️ 01.10.2023): +- [PyPi](https://pypi.org/project/einops) (📥 5.1M / month · 📦 770 · ⏱️ 01.10.2023): ``` pip install einops ``` @@ -429,12 +429,12 @@ _General-purpose machine learning and deep learning frameworks._
Ignite (🥈35 · ⭐ 4.4K) - High-level library to help with training and evaluating neural.. BSD-3 -- [GitHub](https://github.com/pytorch/ignite) (👨‍💻 340 · 🔀 610 · 📦 2.5K · 📋 1.4K - 11% open · ⏱️ 27.11.2023): +- [GitHub](https://github.com/pytorch/ignite) (👨‍💻 350 · 🔀 610 · 📦 2.5K · 📋 1.4K - 11% open · ⏱️ 04.12.2023): ``` git clone https://github.com/pytorch/ignite ``` -- [PyPi](https://pypi.org/project/pytorch-ignite) (📥 230K / month · 📦 49 · ⏱️ 30.11.2023): +- [PyPi](https://pypi.org/project/pytorch-ignite) (📥 250K / month · 📦 49 · ⏱️ 07.12.2023): ``` pip install pytorch-ignite ``` @@ -450,7 +450,7 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/explosion/thinc ``` -- [PyPi](https://pypi.org/project/thinc) (📥 5.7M / month · 📦 640 · ⏱️ 22.09.2023): +- [PyPi](https://pypi.org/project/thinc) (📥 6.1M / month · 📦 640 · ⏱️ 22.09.2023): ``` pip install thinc ``` @@ -461,24 +461,24 @@ _General-purpose machine learning and deep learning frameworks._
Ludwig (🥈34 · ⭐ 10K) - Low-code framework for building custom LLMs, neural networks, and.. Apache-2 -- [GitHub](https://github.com/ludwig-ai/ludwig) (👨‍💻 150 · 🔀 1.1K · 📦 220 · 📋 1.1K - 30% open · ⏱️ 29.11.2023): +- [GitHub](https://github.com/ludwig-ai/ludwig) (👨‍💻 150 · 🔀 1.1K · 📦 230 · 📋 1.1K - 30% open · ⏱️ 06.12.2023): ``` git clone https://github.com/ludwig-ai/ludwig ``` -- [PyPi](https://pypi.org/project/ludwig) (📥 5.9K / month · 📦 9 · ⏱️ 13.10.2023): +- [PyPi](https://pypi.org/project/ludwig) (📥 5.2K / month · 📦 9 · ⏱️ 13.10.2023): ``` pip install ludwig ```
mlpack (🥉33 · ⭐ 4.6K) - mlpack: a fast, header-only C++ machine learning library. BSD-3 -- [GitHub](https://github.com/mlpack/mlpack) (👨‍💻 310 · 🔀 1.5K · 📋 1.6K - 1% open · ⏱️ 29.11.2023): +- [GitHub](https://github.com/mlpack/mlpack) (👨‍💻 310 · 🔀 1.5K · 📋 1.6K - 1% open · ⏱️ 04.12.2023): ``` git clone https://github.com/mlpack/mlpack ``` -- [PyPi](https://pypi.org/project/mlpack) (📥 1.1K / month · 📦 1 · ⏱️ 07.09.2023): +- [PyPi](https://pypi.org/project/mlpack) (📥 900 / month · 📦 1 · ⏱️ 07.09.2023): ``` pip install mlpack ``` @@ -494,7 +494,7 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/tensorpack/tensorpack ``` -- [PyPi](https://pypi.org/project/tensorpack) (📥 14K / month · 📦 47 · ⏱️ 04.09.2018): +- [PyPi](https://pypi.org/project/tensorpack) (📥 14K / month · 📦 47 · ⏱️ 22.01.2021): ``` pip install tensorpack ``` @@ -510,7 +510,7 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/deepmind/dm-haiku ``` -- [PyPi](https://pypi.org/project/dm-haiku) (📥 220K / month · 📦 84 · ⏱️ 10.11.2023): +- [PyPi](https://pypi.org/project/dm-haiku) (📥 230K / month · 📦 87 · ⏱️ 10.11.2023): ``` pip install dm-haiku ``` @@ -521,7 +521,7 @@ _General-purpose machine learning and deep learning frameworks._
EvaDB (🥉32 · ⭐ 2.4K) - Database system for AI-powered apps. Apache-2 -- [GitHub](https://github.com/georgia-tech-db/evadb) (👨‍💻 71 · 🔀 240 · 📥 410K · 📦 140 · 📋 300 - 25% open · ⏱️ 28.11.2023): +- [GitHub](https://github.com/georgia-tech-db/evadb) (👨‍💻 73 · 🔀 240 · 📥 410K · 📦 140 · 📋 300 - 25% open · ⏱️ 03.12.2023): ``` git clone https://github.com/georgia-tech-db/eva @@ -538,7 +538,7 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/deepmind/sonnet ``` -- [PyPi](https://pypi.org/project/dm-sonnet) (📥 20K / month · 📦 52 · ⏱️ 27.03.2020): +- [PyPi](https://pypi.org/project/dm-sonnet) (📥 18K / month · 📦 53 · ⏱️ 15.12.2022): ``` pip install dm-sonnet ``` @@ -554,7 +554,7 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/skorch-dev/skorch ``` -- [PyPi](https://pypi.org/project/skorch) (📥 56K / month · 📦 48 · ⏱️ 04.09.2023): +- [PyPi](https://pypi.org/project/skorch) (📥 58K / month · 📦 52 · ⏱️ 04.09.2023): ``` pip install skorch ``` @@ -570,67 +570,55 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/clab/dynet ``` -- [PyPi](https://pypi.org/project/dyNET) (📥 260K / month · 📦 29 · ⏱️ 21.10.2020): +- [PyPi](https://pypi.org/project/dyNET) (📥 290K / month · 📦 29 · ⏱️ 21.10.2020): ``` pip install dyNET ```
tensorflow-upstream (🥉31 · ⭐ 670) - TensorFlow ROCm port. Apache-2 -- [GitHub](https://github.com/ROCmSoftwarePlatform/tensorflow-upstream) (👨‍💻 4.5K · 🔀 83 · 📥 21 · 📋 380 - 27% open · ⏱️ 29.11.2023): +- [GitHub](https://github.com/ROCmSoftwarePlatform/tensorflow-upstream) (👨‍💻 4.5K · 🔀 83 · 📥 21 · 📋 380 - 27% open · ⏱️ 01.12.2023): ``` git clone https://github.com/ROCmSoftwarePlatform/tensorflow-upstream ``` -- [PyPi](https://pypi.org/project/tensorflow-rocm) (📥 4K / month · 📦 5 · ⏱️ 04.10.2023): +- [PyPi](https://pypi.org/project/tensorflow-rocm) (📥 4.3K / month · 📦 5 · ⏱️ 04.10.2023): ``` pip install tensorflow-rocm ```
Neural Network Libraries (🥉30 · ⭐ 2.7K) - Neural Network Libraries. Apache-2 -- [GitHub](https://github.com/sony/nnabla) (👨‍💻 73 · 🔀 340 · 📥 910 · 📋 93 - 36% open · ⏱️ 30.11.2023): +- [GitHub](https://github.com/sony/nnabla) (👨‍💻 73 · 🔀 340 · 📥 910 · 📋 91 - 35% open · ⏱️ 06.12.2023): ``` git clone https://github.com/sony/nnabla ``` -- [PyPi](https://pypi.org/project/nnabla) (📥 4K / month · 📦 54 · ⏱️ 06.11.2023): +- [PyPi](https://pypi.org/project/nnabla) (📥 3.8K / month · 📦 55 · ⏱️ 06.12.2023): ``` pip install nnabla ```
Determined (🥉30 · ⭐ 2.6K) - Determined is an open-source machine learning platform.. Apache-2 -- [GitHub](https://github.com/determined-ai/determined) (👨‍💻 110 · 🔀 320 · 📥 7.8K · 📋 440 - 28% open · ⏱️ 30.11.2023): +- [GitHub](https://github.com/determined-ai/determined) (👨‍💻 110 · 🔀 320 · 📥 7.9K · 📋 440 - 28% open · ⏱️ 07.12.2023): ``` git clone https://github.com/determined-ai/determined ``` -- [PyPi](https://pypi.org/project/determined) (📥 21K / month · 📦 4 · ⏱️ 29.11.2023): +- [PyPi](https://pypi.org/project/determined) (📥 21K / month · 📦 4 · ⏱️ 05.12.2023): ``` pip install determined ```
-
ktrain (🥉30 · ⭐ 1.2K) - ktrain is a Python library that makes deep learning and AI more.. Apache-2 - -- [GitHub](https://github.com/amaiya/ktrain) (👨‍💻 16 · 🔀 270 · 📦 480 · 📋 480 - 0% open · ⏱️ 18.11.2023): - - ``` - git clone https://github.com/amaiya/ktrain - ``` -- [PyPi](https://pypi.org/project/ktrain) (📥 20K / month · 📦 3 · ⏱️ 18.11.2023): - ``` - pip install ktrain - ``` -
Geomstats (🥉30 · ⭐ 1.1K) - Computations and statistics on manifolds with geometric structures. MIT -- [GitHub](https://github.com/geomstats/geomstats) (👨‍💻 87 · 🔀 220 · 📦 85 · 📋 540 - 37% open · ⏱️ 30.11.2023): +- [GitHub](https://github.com/geomstats/geomstats) (👨‍💻 87 · 🔀 220 · 📦 85 · 📋 540 - 37% open · ⏱️ 04.12.2023): ``` git clone https://github.com/geomstats/geomstats ``` -- [PyPi](https://pypi.org/project/geomstats) (📥 2.9K / month · 📦 3 · ⏱️ 30.08.2023): +- [PyPi](https://pypi.org/project/geomstats) (📥 3K / month · 📦 3 · ⏱️ 30.08.2023): ``` pip install geomstats ``` @@ -639,58 +627,82 @@ _General-purpose machine learning and deep learning frameworks._ conda install -c conda-forge geomstats ```
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Neural Tangents (🥉27 · ⭐ 2.1K) - Fast and Easy Infinite Neural Networks in Python. Apache-2 +
ktrain (🥉29 · ⭐ 1.2K) - ktrain is a Python library that makes deep learning and AI more.. Apache-2 -- [GitHub](https://github.com/google/neural-tangents) (👨‍💻 29 · 🔀 230 · 📥 330 · 📦 88 · 📋 150 - 39% open · ⏱️ 21.11.2023): +- [GitHub](https://github.com/amaiya/ktrain) (👨‍💻 16 · 🔀 270 · 📦 480 · 📋 480 - 0% open · ⏱️ 18.11.2023): ``` - git clone https://github.com/google/neural-tangents + git clone https://github.com/amaiya/ktrain ``` -- [PyPi](https://pypi.org/project/neural-tangents) (📥 2.5K / month · 📦 1 · ⏱️ 24.08.2023): +- [PyPi](https://pypi.org/project/ktrain) (📥 20K / month · 📦 3 · ⏱️ 18.11.2023): ``` - pip install neural-tangents + pip install ktrain ```
-
pyRiemann (🥉26 · ⭐ 540) - Machine learning for multivariate data analysis through the.. BSD-3 +
Neural Tangents (🥉27 · ⭐ 2.1K) - Fast and Easy Infinite Neural Networks in Python. Apache-2 -- [GitHub](https://github.com/pyRiemann/pyRiemann) (👨‍💻 28 · 🔀 150 · 📦 290 · 📋 100 - 7% open · ⏱️ 13.10.2023): +- [GitHub](https://github.com/google/neural-tangents) (👨‍💻 29 · 🔀 230 · 📥 340 · 📦 90 · 📋 150 - 39% open · ⏱️ 21.11.2023): ``` - git clone https://github.com/pyRiemann/pyRiemann - ``` -- [PyPi](https://pypi.org/project/pyriemann) (📥 28K / month · 📦 18 · ⏱️ 17.07.2022): - ``` - pip install pyriemann + git clone https://github.com/google/neural-tangents ``` -- [Conda](https://anaconda.org/conda-forge/pyriemann) (📥 4.7K · ⏱️ 20.06.2023): +- [PyPi](https://pypi.org/project/neural-tangents) (📥 2.3K / month · 📦 1 · ⏱️ 24.08.2023): ``` - conda install -c conda-forge pyriemann + pip install neural-tangents ```
Towhee (🥉25 · ⭐ 2.9K) - Towhee is a framework that is dedicated to making neural data.. Apache-2 -- [GitHub](https://github.com/towhee-io/towhee) (👨‍💻 34 · 🔀 240 · 📥 2.6K · 📋 650 - 1% open · ⏱️ 08.11.2023): +- [GitHub](https://github.com/towhee-io/towhee) (👨‍💻 34 · 🔀 250 · 📥 2.6K · 📋 650 - 1% open · ⏱️ 04.12.2023): ``` git clone https://github.com/towhee-io/towhee ``` -- [PyPi](https://pypi.org/project/towhee) (📥 3K / month · ⏱️ 14.09.2023): +- [PyPi](https://pypi.org/project/towhee) (📥 3.1K / month · ⏱️ 04.12.2023): ``` pip install towhee ```
Objax (🥉25 · ⭐ 750) - Objax is a machine learning framework that provides an Object.. Apache-2 -- [GitHub](https://github.com/google/objax) (👨‍💻 26 · 🔀 78 · 📦 42 · 📋 110 - 45% open · ⏱️ 06.11.2023): +- [GitHub](https://github.com/google/objax) (👨‍💻 26 · 🔀 78 · 📦 43 · 📋 110 - 45% open · ⏱️ 06.11.2023): ``` git clone https://github.com/google/objax ``` -- [PyPi](https://pypi.org/project/objax) (📥 2.1K / month · 📦 4 · ⏱️ 06.11.2023): +- [PyPi](https://pypi.org/project/objax) (📥 2.8K / month · 📦 4 · ⏱️ 06.11.2023): ``` pip install objax ```
+
Torchbearer (🥉25 · ⭐ 630 · 📈) - torchbearer: A model fitting library for PyTorch. MIT + +- [GitHub](https://github.com/pytorchbearer/torchbearer) (👨‍💻 14 · 🔀 68 · 📦 84 · 📋 250 - 4% open · ⏱️ 04.12.2023): + + ``` + git clone https://github.com/pytorchbearer/torchbearer + ``` +- [PyPi](https://pypi.org/project/torchbearer) (📥 1.5K / month · 📦 4 · ⏱️ 01.12.2023): + ``` + pip install torchbearer + ``` +
+
pyRiemann (🥉25 · ⭐ 540) - Machine learning for multivariate data analysis through the.. BSD-3 + +- [GitHub](https://github.com/pyRiemann/pyRiemann) (👨‍💻 28 · 🔀 150 · 📦 290 · 📋 100 - 7% open · ⏱️ 13.10.2023): + + ``` + git clone https://github.com/pyRiemann/pyRiemann + ``` +- [PyPi](https://pypi.org/project/pyriemann) (📥 26K / month · 📦 18 · ⏱️ 17.07.2022): + ``` + pip install pyriemann + ``` +- [Conda](https://anaconda.org/conda-forge/pyriemann) (📥 4.7K · ⏱️ 20.06.2023): + ``` + conda install -c conda-forge pyriemann + ``` +
NeuPy (🥉24 · ⭐ 740 · 💤) - NeuPy is a Tensorflow based python library for prototyping and building.. MIT - [GitHub](https://github.com/itdxer/neupy) (👨‍💻 8 · 🔀 160 · 📦 160 · 📋 270 - 12% open · ⏱️ 03.01.2023): @@ -698,7 +710,7 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/itdxer/neupy ``` -- [PyPi](https://pypi.org/project/neupy) (📥 4.1K / month · 📦 13 · ⏱️ 04.04.2019): +- [PyPi](https://pypi.org/project/neupy) (📥 4.6K / month · 📦 13 · ⏱️ 04.04.2019): ``` pip install neupy ``` @@ -710,7 +722,7 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/nubank/fklearn ``` -- [PyPi](https://pypi.org/project/fklearn) (📥 470 / month · ⏱️ 09.11.2023): +- [PyPi](https://pypi.org/project/fklearn) (📥 480 / month · ⏱️ 09.11.2023): ``` pip install fklearn ``` @@ -722,48 +734,36 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/neoml-lib/neoml ``` -- [PyPi](https://pypi.org/project/neoml) (📥 850 / month · ⏱️ 01.11.2023): +- [PyPi](https://pypi.org/project/neoml) (📥 240 / month · ⏱️ 01.11.2023): ``` pip install neoml ```
-
Torchbearer (🥉23 · ⭐ 630) - torchbearer: A model fitting library for PyTorch. MIT +
chefboost (🥉20 · ⭐ 420) - A Lightweight Decision Tree Framework supporting regular algorithms:.. MIT -- [GitHub](https://github.com/pytorchbearer/torchbearer) (👨‍💻 14 · 🔀 68 · 📦 84 · 📋 250 - 4% open · ⏱️ 13.11.2023): +- [GitHub](https://github.com/serengil/chefboost) (👨‍💻 6 · 🔀 96 · 📦 51 · 📋 32 - 15% open · ⏱️ 31.10.2023): ``` - git clone https://github.com/pytorchbearer/torchbearer + git clone https://github.com/serengil/chefboost ``` -- [PyPi](https://pypi.org/project/torchbearer) (📥 800 / month · 📦 4 · ⏱️ 13.11.2023): +- [PyPi](https://pypi.org/project/chefboost) (📥 1.5K / month · ⏱️ 16.02.2022): ``` - pip install torchbearer + pip install chefboost ```
-
ThunderSVM (🥉20 · ⭐ 1.5K) - ThunderSVM: A Fast SVM Library on GPUs and CPUs. Apache-2 +
ThunderSVM (🥉19 · ⭐ 1.5K) - ThunderSVM: A Fast SVM Library on GPUs and CPUs. Apache-2 - [GitHub](https://github.com/Xtra-Computing/thundersvm) (👨‍💻 35 · 🔀 210 · 📥 2.7K · 📋 220 - 32% open · ⏱️ 15.09.2023): ``` git clone https://github.com/Xtra-Computing/thundersvm ``` -- [PyPi](https://pypi.org/project/thundersvm) (📥 380 / month · ⏱️ 13.03.2020): +- [PyPi](https://pypi.org/project/thundersvm) (📥 400 / month · ⏱️ 13.03.2020): ``` pip install thundersvm ```
-
chefboost (🥉20 · ⭐ 420) - A Lightweight Decision Tree Framework supporting regular algorithms:.. MIT - -- [GitHub](https://github.com/serengil/chefboost) (👨‍💻 6 · 🔀 96 · 📦 50 · 📋 32 - 15% open · ⏱️ 31.10.2023): - - ``` - git clone https://github.com/serengil/chefboost - ``` -- [PyPi](https://pypi.org/project/chefboost) (📥 1.3K / month · ⏱️ 16.02.2022): - ``` - pip install chefboost - ``` -
-
ThunderGBM (🥉16 · ⭐ 680) - ThunderGBM: Fast GBDTs and Random Forests on GPUs. Apache-2 +
ThunderGBM (🥉15 · ⭐ 680) - ThunderGBM: Fast GBDTs and Random Forests on GPUs. Apache-2 - [GitHub](https://github.com/Xtra-Computing/thundergbm) (👨‍💻 11 · 🔀 87 · 📦 2 · 📋 78 - 46% open · ⏱️ 26.09.2023): @@ -777,19 +777,19 @@ _General-purpose machine learning and deep learning frameworks._
Show 14 hidden projects... -- dlib (🥈40 · ⭐ 12K) - A toolkit for making real world machine learning and data analysis.. ❗️BSL-1.0 +- dlib (🥈39 · ⭐ 12K) - A toolkit for making real world machine learning and data analysis.. ❗️BSL-1.0 - MindsDB (🥈34 · ⭐ 19K) - MindsDB connects AI models to real time data. ❗️GPL-3.0 - Turi Create (🥉33 · ⭐ 11K · 💀) - Turi Create simplifies the development of custom machine.. BSD-3 - Chainer (🥉33 · ⭐ 5.8K · 💀) - A flexible framework of neural networks for deep learning. MIT - TFlearn (🥉32 · ⭐ 9.6K · 💀) - Deep learning library featuring a higher-level API for TensorFlow. MIT - CNTK (🥉30 · ⭐ 17K · 💀) - Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit. MIT -- NuPIC (🥉29 · ⭐ 6.3K) - Numenta Platform for Intelligent Computing is an implementation of.. ❗️AGPL-3.0 +- NuPIC (🥉28 · ⭐ 6.3K) - Numenta Platform for Intelligent Computing is an implementation of.. ❗️AGPL-3.0 - Lasagne (🥉28 · ⭐ 3.8K · 💀) - Lightweight library to build and train neural networks in Theano. MIT - SHOGUN (🥉26 · ⭐ 3K · 💀) - Unified and efficient Machine Learning. BSD-3 - xLearn (🥉25 · ⭐ 3.1K · 💀) - High performance, easy-to-use, and scalable machine learning (ML).. Apache-2 - mace (🥉22 · ⭐ 4.8K · 💀) - MACE is a deep learning inference framework optimized for mobile.. Apache-2 - neon (🥉22 · ⭐ 3.9K · 💀) - Intel Nervana reference deep learning framework committed to best.. Apache-2 -- elegy (🥉18 · ⭐ 460 · 💀) - A High Level API for Deep Learning in JAX. MIT +- elegy (🥉17 · ⭐ 460 · 💀) - A High Level API for Deep Learning in JAX. MIT - StarSpace (🥉16 · ⭐ 3.9K · 💀) - Learning embeddings for classification, retrieval and ranking. MIT

@@ -800,14 +800,14 @@ _General-purpose machine learning and deep learning frameworks._ _General-purpose and task-specific data visualization libraries._ -
Matplotlib (🥇50 · ⭐ 18K · 📉) - matplotlib: plotting with Python. Python-2.0 +
Matplotlib (🥇50 · ⭐ 19K) - matplotlib: plotting with Python. Python-2.0 -- [GitHub](https://github.com/matplotlib/matplotlib) (👨‍💻 1.6K · 🔀 7.3K · 📦 1M · 📋 10K - 14% open · ⏱️ 30.11.2023): +- [GitHub](https://github.com/matplotlib/matplotlib) (👨‍💻 1.6K · 🔀 7.3K · 📦 1M · 📋 10K - 14% open · ⏱️ 07.12.2023): ``` git clone https://github.com/matplotlib/matplotlib ``` -- [PyPi](https://pypi.org/project/matplotlib) (📥 44M / month · 📦 63K · ⏱️ 18.11.2023): +- [PyPi](https://pypi.org/project/matplotlib) (📥 45M / month · 📦 63K · ⏱️ 18.11.2023): ``` pip install matplotlib ``` @@ -818,28 +818,28 @@ _General-purpose and task-specific data visualization libraries._
Bokeh (🥇45 · ⭐ 18K) - Interactive Data Visualization in the browser, from Python. BSD-3 -- [GitHub](https://github.com/bokeh/bokeh) (👨‍💻 680 · 🔀 4.1K · 📦 80K · 📋 7.5K - 10% open · ⏱️ 29.11.2023): +- [GitHub](https://github.com/bokeh/bokeh) (👨‍💻 680 · 🔀 4.2K · 📦 80K · 📋 7.5K - 10% open · ⏱️ 07.12.2023): ``` git clone https://github.com/bokeh/bokeh ``` -- [PyPi](https://pypi.org/project/bokeh) (📥 3.6M / month · 📦 3.8K · ⏱️ 09.11.2023): +- [PyPi](https://pypi.org/project/bokeh) (📥 3.6M / month · 📦 3.8K · ⏱️ 01.12.2023): ``` pip install bokeh ``` -- [Conda](https://anaconda.org/conda-forge/bokeh) (📥 13M · ⏱️ 09.11.2023): +- [Conda](https://anaconda.org/conda-forge/bokeh) (📥 13M · ⏱️ 01.12.2023): ``` conda install -c conda-forge bokeh ```
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Plotly (🥇44 · ⭐ 14K) - The interactive graphing library for Python This project now includes.. MIT +
Plotly (🥇44 · ⭐ 15K) - The interactive graphing library for Python This project now includes.. MIT -- [GitHub](https://github.com/plotly/plotly.py) (👨‍💻 250 · 🔀 2.4K · 📦 220K · 📋 2.8K - 50% open · ⏱️ 28.11.2023): +- [GitHub](https://github.com/plotly/plotly.py) (👨‍💻 250 · 🔀 2.4K · 📦 220K · 📋 2.8K - 50% open · ⏱️ 30.11.2023): ``` git clone https://github.com/plotly/plotly.py ``` -- [PyPi](https://pypi.org/project/plotly) (📥 11M / month · 📦 5.4K · ⏱️ 25.10.2023): +- [PyPi](https://pypi.org/project/plotly) (📥 12M / month · 📦 5.4K · ⏱️ 25.10.2023): ``` pip install plotly ``` @@ -852,25 +852,25 @@ _General-purpose and task-specific data visualization libraries._ npm install plotlywidget ```
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Seaborn (🥇43 · ⭐ 11K) - Statistical data visualization in Python. BSD-3 +
Seaborn (🥇44 · ⭐ 11K) - Statistical data visualization in Python. BSD-3 -- [GitHub](https://github.com/mwaskom/seaborn) (👨‍💻 210 · 🔀 1.8K · 📥 310 · 📦 330K · 📋 2.4K - 4% open · ⏱️ 30.11.2023): +- [GitHub](https://github.com/mwaskom/seaborn) (👨‍💻 210 · 🔀 1.8K · 📥 330 · 📦 330K · 📋 2.4K - 4% open · ⏱️ 06.12.2023): ``` git clone https://github.com/mwaskom/seaborn ``` -- [PyPi](https://pypi.org/project/seaborn) (📥 12M / month · 📦 11K · ⏱️ 29.09.2023): +- [PyPi](https://pypi.org/project/seaborn) (📥 13M / month · 📦 11K · ⏱️ 29.09.2023): ``` pip install seaborn ``` -- [Conda](https://anaconda.org/conda-forge/seaborn) (📥 7.8M · ⏱️ 02.10.2023): +- [Conda](https://anaconda.org/conda-forge/seaborn) (📥 7.9M · ⏱️ 02.10.2023): ``` conda install -c conda-forge seaborn ```
Altair (🥇42 · ⭐ 8.6K) - Declarative statistical visualization library for Python. BSD-3 -- [GitHub](https://github.com/altair-viz/altair) (👨‍💻 160 · 🔀 780 · 📥 90 · 📦 90K · 📋 1.9K - 9% open · ⏱️ 28.11.2023): +- [GitHub](https://github.com/altair-viz/altair) (👨‍💻 160 · 🔀 780 · 📥 91 · 📦 92K · 📋 1.9K - 9% open · ⏱️ 06.12.2023): ``` git clone https://github.com/altair-viz/altair @@ -879,19 +879,19 @@ _General-purpose and task-specific data visualization libraries._ ``` pip install altair ``` -- [Conda](https://anaconda.org/conda-forge/altair) (📥 2.1M · ⏱️ 03.10.2023): +- [Conda](https://anaconda.org/conda-forge/altair) (📥 2.1M · ⏱️ 05.12.2023): ``` conda install -c conda-forge altair ```
dash (🥇40 · ⭐ 20K) - Data Apps & Dashboards for Python. No JavaScript Required. MIT -- [GitHub](https://github.com/plotly/dash) (👨‍💻 140 · 🔀 2K · 📥 6 · 📦 55K · 📋 1.6K - 48% open · ⏱️ 28.11.2023): +- [GitHub](https://github.com/plotly/dash) (👨‍💻 140 · 🔀 2K · 📥 9 · 📦 55K · 📋 1.6K - 48% open · ⏱️ 01.12.2023): ``` git clone https://github.com/plotly/dash ``` -- [PyPi](https://pypi.org/project/dash) (📥 2.2M / month · 📦 1.4K · ⏱️ 28.11.2023): +- [PyPi](https://pypi.org/project/dash) (📥 2.3M / month · 📦 1.4K · ⏱️ 28.11.2023): ``` pip install dash ``` @@ -912,14 +912,14 @@ _General-purpose and task-specific data visualization libraries._ pip install pyecharts ```
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pandas-profiling (🥈37 · ⭐ 11K) - 1 Line of code data quality profiling & exploratory.. MIT +
pandas-profiling (🥈37 · ⭐ 12K) - 1 Line of code data quality profiling & exploratory.. MIT -- [GitHub](https://github.com/ydataai/ydata-profiling) (👨‍💻 120 · 🔀 1.6K · 📥 8 · 📦 1.9K · 📋 740 - 26% open · ⏱️ 29.11.2023): +- [GitHub](https://github.com/ydataai/ydata-profiling) (👨‍💻 120 · 🔀 1.6K · 📥 14 · 📦 2K · 📋 750 - 26% open · ⏱️ 07.12.2023): ``` git clone https://github.com/ydataai/pandas-profiling ``` -- [PyPi](https://pypi.org/project/pandas-profiling) (📥 680K / month · 📦 190 · ⏱️ 03.02.2023): +- [PyPi](https://pypi.org/project/pandas-profiling) (📥 670K / month · 📦 200 · ⏱️ 03.02.2023): ``` pip install pandas-profiling ``` @@ -930,12 +930,12 @@ _General-purpose and task-specific data visualization libraries._
PyQtGraph (🥈36 · ⭐ 3.5K) - Fast data visualization and GUI tools for scientific / engineering.. MIT -- [GitHub](https://github.com/pyqtgraph/pyqtgraph) (👨‍💻 260 · 🔀 1K · 📦 8.3K · 📋 1.2K - 29% open · ⏱️ 18.11.2023): +- [GitHub](https://github.com/pyqtgraph/pyqtgraph) (👨‍💻 260 · 🔀 1K · 📦 8.4K · 📋 1.2K - 29% open · ⏱️ 18.11.2023): ``` git clone https://github.com/pyqtgraph/pyqtgraph ``` -- [PyPi](https://pypi.org/project/pyqtgraph) (📥 180K / month · 📦 950 · ⏱️ 29.09.2022): +- [PyPi](https://pypi.org/project/pyqtgraph) (📥 170K / month · 📦 960 · ⏱️ 14.04.2023): ``` pip install pyqtgraph ``` @@ -944,18 +944,34 @@ _General-purpose and task-specific data visualization libraries._ conda install -c conda-forge pyqtgraph ```
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PyVista (🥈36 · ⭐ 2.1K) - 3D plotting and mesh analysis through a streamlined interface for.. MIT + +- [GitHub](https://github.com/pyvista/pyvista) (👨‍💻 150 · 🔀 390 · 📥 790 · 📦 2.4K · 📋 1.4K - 29% open · ⏱️ 07.12.2023): + + ``` + git clone https://github.com/pyvista/pyvista + ``` +- [PyPi](https://pypi.org/project/pyvista) (📥 220K / month · 📦 240 · ⏱️ 07.12.2023): + ``` + pip install pyvista + ``` +- [Conda](https://anaconda.org/conda-forge/pyvista) (📥 430K · ⏱️ 07.12.2023): + ``` + conda install -c conda-forge pyvista + ``` +
Graphviz (🥈36 · ⭐ 1.5K) - Simple Python interface for Graphviz. MIT -- [GitHub](https://github.com/xflr6/graphviz) (👨‍💻 21 · 🔀 200 · 📦 57K · 📋 170 - 5% open · ⏱️ 26.10.2023): +- [GitHub](https://github.com/xflr6/graphviz) (👨‍💻 22 · 🔀 200 · 📦 57K · 📋 170 - 5% open · ⏱️ 04.12.2023): ``` git clone https://github.com/xflr6/graphviz ``` -- [PyPi](https://pypi.org/project/graphviz) (📥 7.7M / month · 📦 3.4K · ⏱️ 23.07.2022): +- [PyPi](https://pypi.org/project/graphviz) (📥 7.9M / month · 📦 3.4K · ⏱️ 23.07.2022): ``` pip install graphviz ``` -- [Conda](https://anaconda.org/anaconda/python-graphviz) (📥 42K · ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/anaconda/python-graphviz) (📥 42K · ⏱️ 06.12.2023): ``` conda install -c anaconda python-graphviz ``` @@ -975,19 +991,19 @@ _General-purpose and task-specific data visualization libraries._ ``` conda install -c conda-forge vispy ``` -- [npm](https://www.npmjs.com/package/vispy) (📥 10 / month · 📦 1 · ⏱️ 15.03.2020): +- [npm](https://www.npmjs.com/package/vispy) (📥 11 / month · 📦 1 · ⏱️ 15.03.2020): ``` npm install vispy ```
HoloViews (🥈35 · ⭐ 2.5K) - With Holoviews, your data visualizes itself. BSD-3 -- [GitHub](https://github.com/holoviz/holoviews) (👨‍💻 140 · 🔀 380 · 📋 3.1K - 33% open · ⏱️ 29.11.2023): +- [GitHub](https://github.com/holoviz/holoviews) (👨‍💻 140 · 🔀 380 · 📋 3.1K - 33% open · ⏱️ 06.12.2023): ``` git clone https://github.com/holoviz/holoviews ``` -- [PyPi](https://pypi.org/project/holoviews) (📥 350K / month · 📦 260 · ⏱️ 21.11.2023): +- [PyPi](https://pypi.org/project/holoviews) (📥 320K / month · 📦 270 · ⏱️ 06.12.2023): ``` pip install holoviews ``` @@ -995,41 +1011,37 @@ _General-purpose and task-specific data visualization libraries._ ``` conda install -c conda-forge holoviews ``` -- [npm](https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz) (📥 650 / month · 📦 2 · ⏱️ 16.08.2023): +- [npm](https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz) (📥 660 / month · 📦 2 · ⏱️ 16.08.2023): ``` npm install @pyviz/jupyterlab_pyviz ```
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PyVista (🥈35 · ⭐ 2.1K) - 3D plotting and mesh analysis through a streamlined interface for.. MIT +
FiftyOne (🥈34 · ⭐ 5.5K) - Visualize, create, and debug image and video datasets.. Apache-2 -- [GitHub](https://github.com/pyvista/pyvista) (👨‍💻 150 · 🔀 380 · 📥 790 · 📦 2.4K · 📋 1.4K - 28% open · ⏱️ 30.11.2023): +- [GitHub](https://github.com/voxel51/fiftyone) (👨‍💻 100 · 🔀 440 · 📦 450 · 📋 1.4K - 33% open · ⏱️ 06.12.2023): ``` - git clone https://github.com/pyvista/pyvista - ``` -- [PyPi](https://pypi.org/project/pyvista) (📥 230K / month · 📦 220 · ⏱️ 07.10.2023): - ``` - pip install pyvista + git clone https://github.com/voxel51/fiftyone ``` -- [Conda](https://anaconda.org/conda-forge/pyvista) (📥 430K · ⏱️ 07.10.2023): +- [PyPi](https://pypi.org/project/fiftyone) (📥 42K / month · 📦 10 · ⏱️ 05.12.2023): ``` - conda install -c conda-forge pyvista + pip install fiftyone ```
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plotnine (🥈34 · ⭐ 3.6K) - A Grammar of Graphics for Python. MIT +
wordcloud (🥈33 · ⭐ 9.8K) - A little word cloud generator in Python. MIT -- [GitHub](https://github.com/has2k1/plotnine) (👨‍💻 100 · 🔀 200 · 📦 6.3K · 📋 590 - 13% open · ⏱️ 21.11.2023): +- [GitHub](https://github.com/amueller/word_cloud) (👨‍💻 72 · 🔀 2.3K · 📦 21 · 📋 520 - 20% open · ⏱️ 07.12.2023): ``` - git clone https://github.com/has2k1/plotnine + git clone https://github.com/amueller/word_cloud ``` -- [PyPi](https://pypi.org/project/plotnine) (📥 1.8M / month · 📦 260 · ⏱️ 06.11.2023): +- [PyPi](https://pypi.org/project/wordcloud) (📥 1.4M / month · 📦 830 · ⏱️ 18.05.2023): ``` - pip install plotnine + pip install wordcloud ``` -- [Conda](https://anaconda.org/conda-forge/plotnine) (📥 330K · ⏱️ 06.11.2023): +- [Conda](https://anaconda.org/conda-forge/wordcloud) (📥 450K · ⏱️ 07.07.2023): ``` - conda install -c conda-forge plotnine + conda install -c conda-forge wordcloud ```
UMAP (🥈33 · ⭐ 6.6K) - Uniform Manifold Approximation and Projection. BSD-3 @@ -1039,7 +1051,7 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/lmcinnes/umap ``` -- [PyPi](https://pypi.org/project/umap-learn) (📥 850K / month · 📦 520 · ⏱️ 18.11.2023): +- [PyPi](https://pypi.org/project/umap-learn) (📥 860K / month · 📦 520 · ⏱️ 18.11.2023): ``` pip install umap-learn ``` @@ -1048,21 +1060,25 @@ _General-purpose and task-specific data visualization libraries._ conda install -c conda-forge umap-learn ```
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FiftyOne (🥈33 · ⭐ 5.5K) - Visualize, create, and debug image and video datasets.. Apache-2 +
plotnine (🥈33 · ⭐ 3.6K) - A Grammar of Graphics for Python. MIT -- [GitHub](https://github.com/voxel51/fiftyone) (👨‍💻 98 · 🔀 440 · 📦 440 · 📋 1.5K - 34% open · ⏱️ 22.11.2023): +- [GitHub](https://github.com/has2k1/plotnine) (👨‍💻 100 · 🔀 200 · 📦 6.3K · 📋 590 - 13% open · ⏱️ 21.11.2023): ``` - git clone https://github.com/voxel51/fiftyone + git clone https://github.com/has2k1/plotnine ``` -- [PyPi](https://pypi.org/project/fiftyone) (📥 52K / month · 📦 9 · ⏱️ 06.11.2023): +- [PyPi](https://pypi.org/project/plotnine) (📥 1.9M / month · 📦 260 · ⏱️ 06.11.2023): ``` - pip install fiftyone + pip install plotnine + ``` +- [Conda](https://anaconda.org/conda-forge/plotnine) (📥 330K · ⏱️ 06.11.2023): + ``` + conda install -c conda-forge plotnine ```
datashader (🥈33 · ⭐ 3.1K) - Quickly and accurately render even the largest data. BSD-3 -- [GitHub](https://github.com/holoviz/datashader) (👨‍💻 54 · 🔀 360 · 📦 3.2K · 📋 570 - 22% open · ⏱️ 27.10.2023): +- [GitHub](https://github.com/holoviz/datashader) (👨‍💻 54 · 🔀 360 · 📦 3.3K · 📋 570 - 22% open · ⏱️ 27.10.2023): ``` git clone https://github.com/holoviz/datashader @@ -1071,50 +1087,34 @@ _General-purpose and task-specific data visualization libraries._ ``` pip install datashader ``` -- [Conda](https://anaconda.org/conda-forge/datashader) (📥 720K · ⏱️ 27.10.2023): +- [Conda](https://anaconda.org/conda-forge/datashader) (📥 730K · ⏱️ 27.10.2023): ``` conda install -c conda-forge datashader ```
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wordcloud (🥈32 · ⭐ 9.8K) - A little word cloud generator in Python. MIT - -- [GitHub](https://github.com/amueller/word_cloud) (👨‍💻 69 · 🔀 2.3K · 📦 21 · 📋 520 - 20% open · ⏱️ 04.10.2023): - - ``` - git clone https://github.com/amueller/word_cloud - ``` -- [PyPi](https://pypi.org/project/wordcloud) (📥 1.4M / month · 📦 830 · ⏱️ 18.05.2023): - ``` - pip install wordcloud - ``` -- [Conda](https://anaconda.org/conda-forge/wordcloud) (📥 450K · ⏱️ 07.07.2023): - ``` - conda install -c conda-forge wordcloud - ``` -
Perspective (🥈31 · ⭐ 7K) - A data visualization and analytics component, especially.. Apache-2 -- [GitHub](https://github.com/finos/perspective) (👨‍💻 93 · 🔀 890 · 📥 1.7K · 📦 100 · 📋 700 - 13% open · ⏱️ 29.11.2023): +- [GitHub](https://github.com/finos/perspective) (👨‍💻 93 · 🔀 890 · 📥 1.7K · 📦 100 · 📋 700 - 13% open · ⏱️ 03.12.2023): ``` git clone https://github.com/finos/perspective ``` -- [PyPi](https://pypi.org/project/perspective-python) (📥 7K / month · 📦 14 · ⏱️ 29.11.2023): +- [PyPi](https://pypi.org/project/perspective-python) (📥 5.9K / month · 📦 14 · ⏱️ 29.11.2023): ``` pip install perspective-python ``` -- [Conda](https://anaconda.org/conda-forge/perspective) (📥 490K · ⏱️ 20.11.2023): +- [Conda](https://anaconda.org/conda-forge/perspective) (📥 490K · ⏱️ 04.12.2023): ``` conda install -c conda-forge perspective ``` -- [npm](https://www.npmjs.com/package/@finos/perspective-jupyterlab) (📥 790 / month · 📦 3 · ⏱️ 29.11.2023): +- [npm](https://www.npmjs.com/package/@finos/perspective-jupyterlab) (📥 850 / month · 📦 3 · ⏱️ 29.11.2023): ``` npm install @finos/perspective-jupyterlab ```
D-Tale (🥈31 · ⭐ 4.4K) - Visualizer for pandas data structures. ❗️LGPL-2.1 -- [GitHub](https://github.com/man-group/dtale) (👨‍💻 30 · 🔀 370 · 📦 940 · 📋 550 - 9% open · ⏱️ 29.11.2023): +- [GitHub](https://github.com/man-group/dtale) (👨‍💻 30 · 🔀 370 · 📦 950 · 📋 550 - 9% open · ⏱️ 29.11.2023): ``` git clone https://github.com/man-group/dtale @@ -1128,58 +1128,42 @@ _General-purpose and task-specific data visualization libraries._ conda install -c conda-forge dtale ```
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hvPlot (🥈31 · ⭐ 820) - A high-level plotting API for pandas, dask, xarray, and networkx built on.. BSD-3 +
hvPlot (🥈31 · ⭐ 830) - A high-level plotting API for pandas, dask, xarray, and networkx built on.. BSD-3 -- [GitHub](https://github.com/holoviz/hvplot) (👨‍💻 44 · 🔀 88 · 📦 4K · 📋 680 - 42% open · ⏱️ 14.11.2023): +- [GitHub](https://github.com/holoviz/hvplot) (👨‍💻 44 · 🔀 88 · 📦 4K · 📋 680 - 43% open · ⏱️ 14.11.2023): ``` git clone https://github.com/holoviz/hvplot ``` -- [PyPi](https://pypi.org/project/hvplot) (📥 120K / month · 📦 93 · ⏱️ 16.10.2023): +- [PyPi](https://pypi.org/project/hvplot) (📥 120K / month · 📦 97 · ⏱️ 16.10.2023): ``` pip install hvplot ``` -- [Conda](https://anaconda.org/conda-forge/hvplot) (📥 500K · ⏱️ 16.10.2023): +- [Conda](https://anaconda.org/conda-forge/hvplot) (📥 510K · ⏱️ 16.10.2023): ``` conda install -c conda-forge hvplot ```
lets-plot (🥉30 · ⭐ 1.3K) - Multiplatform plotting library based on Grammar of Graphics. MIT -- [GitHub](https://github.com/JetBrains/lets-plot) (👨‍💻 20 · 🔀 48 · 📥 550 · 📦 51 · 📋 460 - 24% open · ⏱️ 30.11.2023): +- [GitHub](https://github.com/JetBrains/lets-plot) (👨‍💻 20 · 🔀 47 · 📥 550 · 📦 51 · 📋 460 - 25% open · ⏱️ 06.12.2023): ``` git clone https://github.com/JetBrains/lets-plot ``` -- [PyPi](https://pypi.org/project/lets-plot) (📥 31K / month · 📦 2 · ⏱️ 03.11.2023): +- [PyPi](https://pypi.org/project/lets-plot) (📥 29K / month · 📦 2 · ⏱️ 03.11.2023): ``` pip install lets-plot ```
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missingno (🥉29 · ⭐ 3.7K · 💤) - Missing data visualization module for Python. MIT - -- [GitHub](https://github.com/ResidentMario/missingno) (👨‍💻 18 · 🔀 460 · 📦 14K · 📋 130 - 6% open · ⏱️ 26.02.2023): - - ``` - git clone https://github.com/ResidentMario/missingno - ``` -- [PyPi](https://pypi.org/project/missingno) (📥 450K / month · 📦 140 · ⏱️ 27.02.2022): - ``` - pip install missingno - ``` -- [Conda](https://anaconda.org/conda-forge/missingno) (📥 310K · ⏱️ 16.06.2023): - ``` - conda install -c conda-forge missingno - ``` -
bqplot (🥉29 · ⭐ 3.5K) - Plotting library for IPython/Jupyter notebooks. Apache-2 -- [GitHub](https://github.com/bqplot/bqplot) (👨‍💻 64 · 🔀 480 · 📦 51 · 📋 620 - 40% open · ⏱️ 04.10.2023): +- [GitHub](https://github.com/bqplot/bqplot) (👨‍💻 64 · 🔀 470 · 📦 51 · 📋 620 - 40% open · ⏱️ 04.10.2023): ``` git clone https://github.com/bqplot/bqplot ``` -- [PyPi](https://pypi.org/project/bqplot) (📥 130K / month · 📦 100 · ⏱️ 17.10.2023): +- [PyPi](https://pypi.org/project/bqplot) (📥 120K / month · 📦 100 · ⏱️ 17.10.2023): ``` pip install bqplot ``` @@ -1187,23 +1171,23 @@ _General-purpose and task-specific data visualization libraries._ ``` conda install -c conda-forge bqplot ``` -- [npm](https://www.npmjs.com/package/bqplot) (📥 3.3K / month · 📦 16 · ⏱️ 17.10.2023): +- [npm](https://www.npmjs.com/package/bqplot) (📥 3.6K / month · 📦 16 · ⏱️ 17.10.2023): ``` npm install bqplot ```
Sweetviz (🥉29 · ⭐ 2.7K) - Visualize and compare datasets, target values and associations, with one.. MIT -- [GitHub](https://github.com/fbdesignpro/sweetviz) (👨‍💻 11 · 🔀 260 · 📦 1.8K · 📋 130 - 25% open · ⏱️ 29.11.2023): +- [GitHub](https://github.com/fbdesignpro/sweetviz) (👨‍💻 11 · 🔀 260 · 📦 1.9K · 📋 130 - 25% open · ⏱️ 29.11.2023): ``` git clone https://github.com/fbdesignpro/sweetviz ``` -- [PyPi](https://pypi.org/project/sweetviz) (📥 68K / month · 📦 14 · ⏱️ 29.11.2023): +- [PyPi](https://pypi.org/project/sweetviz) (📥 66K / month · 📦 14 · ⏱️ 29.11.2023): ``` pip install sweetviz ``` -- [Conda](https://anaconda.org/conda-forge/sweetviz) (📥 26K · ⏱️ 16.11.2023): +- [Conda](https://anaconda.org/conda-forge/sweetviz) (📥 26K · ⏱️ 04.12.2023): ``` conda install -c conda-forge sweetviz ``` @@ -1215,7 +1199,7 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/mpld3/mpld3 ``` -- [PyPi](https://pypi.org/project/mpld3) (📥 390K / month · 📦 410 · ⏱️ 10.12.2022): +- [PyPi](https://pypi.org/project/mpld3) (📥 410K / month · 📦 410 · ⏱️ 10.12.2022): ``` pip install mpld3 ``` @@ -1223,14 +1207,14 @@ _General-purpose and task-specific data visualization libraries._ ``` conda install -c conda-forge mpld3 ``` -- [npm](https://www.npmjs.com/package/mpld3) (📥 360 / month · 📦 8 · ⏱️ 10.12.2022): +- [npm](https://www.npmjs.com/package/mpld3) (📥 430 / month · 📦 8 · ⏱️ 10.12.2022): ``` npm install mpld3 ```
data-validation (🥉29 · ⭐ 740) - Library for exploring and validating machine learning.. Apache-2 -- [GitHub](https://github.com/tensorflow/data-validation) (👨‍💻 25 · 🔀 150 · 📥 560 · 📦 760 · 📋 180 - 20% open · ⏱️ 17.11.2023): +- [GitHub](https://github.com/tensorflow/data-validation) (👨‍💻 25 · 🔀 150 · 📥 640 · 📦 770 · 📋 180 - 20% open · ⏱️ 17.11.2023): ``` git clone https://github.com/tensorflow/data-validation @@ -1240,18 +1224,34 @@ _General-purpose and task-specific data visualization libraries._ pip install tensorflow-data-validation ```
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Facets Overview (🥉28 · ⭐ 7.2K) - Visualizations for machine learning datasets. Apache-2 +
Facets Overview (🥉28 · ⭐ 7.2K · 💤) - Visualizations for machine learning datasets. Apache-2 - [GitHub](https://github.com/PAIR-code/facets) (👨‍💻 31 · 🔀 910 · 📦 200 · 📋 160 - 50% open · ⏱️ 24.05.2023): ``` git clone https://github.com/pair-code/facets ``` -- [PyPi](https://pypi.org/project/facets-overview) (📥 210K / month · 📦 8 · ⏱️ 24.05.2023): +- [PyPi](https://pypi.org/project/facets-overview) (📥 200K / month · 📦 8 · ⏱️ 24.05.2023): ``` pip install facets-overview ```
+
missingno (🥉28 · ⭐ 3.7K · 💤) - Missing data visualization module for Python. MIT + +- [GitHub](https://github.com/ResidentMario/missingno) (👨‍💻 18 · 🔀 460 · 📦 14K · 📋 130 - 6% open · ⏱️ 26.02.2023): + + ``` + git clone https://github.com/ResidentMario/missingno + ``` +- [PyPi](https://pypi.org/project/missingno) (📥 440K / month · 📦 140 · ⏱️ 26.02.2023): + ``` + pip install missingno + ``` +- [Conda](https://anaconda.org/conda-forge/missingno) (📥 310K · ⏱️ 16.06.2023): + ``` + conda install -c conda-forge missingno + ``` +
AutoViz (🥉27 · ⭐ 1.5K) - Automatically Visualize any dataset, any size with a single line of.. Apache-2 - [GitHub](https://github.com/AutoViML/AutoViz) (👨‍💻 14 · 🔀 190 · 📦 580 · 📋 87 - 6% open · ⏱️ 05.11.2023): @@ -1259,23 +1259,23 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/AutoViML/AutoViz ``` -- [PyPi](https://pypi.org/project/autoviz) (📥 360K / month · 📦 7 · ⏱️ 30.10.2023): +- [PyPi](https://pypi.org/project/autoviz) (📥 310K / month · 📦 7 · ⏱️ 30.10.2023): ``` pip install autoviz ``` -- [Conda](https://anaconda.org/conda-forge/autoviz) (📥 44K · ⏱️ 21.07.2023): +- [Conda](https://anaconda.org/conda-forge/autoviz) (📥 45K · ⏱️ 21.07.2023): ``` conda install -c conda-forge autoviz ```
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openTSNE (🥉27 · ⭐ 1.3K · 📈) - Extensible, parallel implementations of t-SNE. BSD-3 +
openTSNE (🥉27 · ⭐ 1.3K) - Extensible, parallel implementations of t-SNE. BSD-3 -- [GitHub](https://github.com/pavlin-policar/openTSNE) (👨‍💻 11 · 🔀 160 · 📦 690 · 📋 130 - 1% open · ⏱️ 29.11.2023): +- [GitHub](https://github.com/pavlin-policar/openTSNE) (👨‍💻 11 · 🔀 160 · 📦 700 · 📋 130 - 1% open · ⏱️ 29.11.2023): ``` git clone https://github.com/pavlin-policar/openTSNE ``` -- [PyPi](https://pypi.org/project/opentsne) (📥 23K / month · 📦 18 · ⏱️ 29.11.2023): +- [PyPi](https://pypi.org/project/opentsne) (📥 30K / month · 📦 18 · ⏱️ 29.11.2023): ``` pip install opentsne ``` @@ -1291,7 +1291,7 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/jupyter-widgets/pythreejs ``` -- [PyPi](https://pypi.org/project/pythreejs) (📥 62K / month · 📦 57 · ⏱️ 20.02.2023): +- [PyPi](https://pypi.org/project/pythreejs) (📥 60K / month · 📦 57 · ⏱️ 20.02.2023): ``` pip install pythreejs ``` @@ -1299,11 +1299,27 @@ _General-purpose and task-specific data visualization libraries._ ``` conda install -c conda-forge pythreejs ``` -- [npm](https://www.npmjs.com/package/jupyter-threejs) (📥 3.5K / month · 📦 11 · ⏱️ 20.02.2023): +- [npm](https://www.npmjs.com/package/jupyter-threejs) (📥 3.8K / month · 📦 11 · ⏱️ 20.02.2023): ``` npm install jupyter-threejs ```
+
Plotly-Resampler (🥉26 · ⭐ 860) - Visualize large time series data with plotly.py. MIT + +- [GitHub](https://github.com/predict-idlab/plotly-resampler) (👨‍💻 11 · 🔀 55 · 📦 740 · 📋 150 - 26% open · ⏱️ 02.12.2023): + + ``` + git clone https://github.com/predict-idlab/plotly-resampler + ``` +- [PyPi](https://pypi.org/project/plotly-resampler) (📥 370K / month · 📦 11 · ⏱️ 02.12.2023): + ``` + pip install plotly-resampler + ``` +- [Conda](https://anaconda.org/conda-forge/plotly-resampler) (📥 32K · ⏱️ 11.08.2023): + ``` + conda install -c conda-forge plotly-resampler + ``` +
Chartify (🥉25 · ⭐ 3.4K) - Python library that makes it easy for data scientists to create.. Apache-2 - [GitHub](https://github.com/spotify/chartify) (👨‍💻 25 · 🔀 310 · 📦 73 · 📋 80 - 60% open · ⏱️ 12.10.2023): @@ -1322,12 +1338,12 @@ _General-purpose and task-specific data visualization libraries._
HiPlot (🥉25 · ⭐ 2.6K) - HiPlot makes understanding high dimensional data easy. MIT -- [GitHub](https://github.com/facebookresearch/hiplot) (👨‍💻 9 · 🔀 130 · 📦 350 · 📋 92 - 20% open · ⏱️ 19.07.2023): +- [GitHub](https://github.com/facebookresearch/hiplot) (👨‍💻 9 · 🔀 130 · 📦 360 · 📋 92 - 20% open · ⏱️ 19.07.2023): ``` git clone https://github.com/facebookresearch/hiplot ``` -- [PyPi](https://pypi.org/project/hiplot) (📥 25K / month · 📦 15 · ⏱️ 05.07.2022): +- [PyPi](https://pypi.org/project/hiplot) (📥 26K / month · 📦 15 · ⏱️ 05.07.2022): ``` pip install hiplot ``` @@ -1336,46 +1352,30 @@ _General-purpose and task-specific data visualization libraries._ conda install -c conda-forge hiplot ```
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Multicore-TSNE (🥉25 · ⭐ 1.8K) - Parallel t-SNE implementation with Python and Torch.. BSD-3 +
Multicore-TSNE (🥉25 · ⭐ 1.8K · 💤) - Parallel t-SNE implementation with Python and Torch.. BSD-3 - [GitHub](https://github.com/DmitryUlyanov/Multicore-TSNE) (👨‍💻 17 · 🔀 230 · 📦 410 · 📋 66 - 68% open · ⏱️ 26.05.2023): ``` git clone https://github.com/DmitryUlyanov/Multicore-TSNE ``` -- [PyPi](https://pypi.org/project/MulticoreTSNE) (📥 15K / month · 📦 22 · ⏱️ 09.01.2019): +- [PyPi](https://pypi.org/project/MulticoreTSNE) (📥 11K / month · 📦 22 · ⏱️ 09.01.2019): ``` pip install MulticoreTSNE ``` -- [Conda](https://anaconda.org/conda-forge/multicore-tsne) (📥 30K · ⏱️ 11.10.2023): +- [Conda](https://anaconda.org/conda-forge/multicore-tsne) (📥 31K · ⏱️ 11.10.2023): ``` conda install -c conda-forge multicore-tsne ```
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Plotly-Resampler (🥉25 · ⭐ 860) - Visualize large time series data with plotly.py. MIT - -- [GitHub](https://github.com/predict-idlab/plotly-resampler) (👨‍💻 11 · 🔀 56 · 📦 720 · 📋 150 - 28% open · ⏱️ 24.11.2023): - - ``` - git clone https://github.com/predict-idlab/plotly-resampler - ``` -- [PyPi](https://pypi.org/project/plotly-resampler) (📥 360K / month · 📦 10 · ⏱️ 08.11.2023): - ``` - pip install plotly-resampler - ``` -- [Conda](https://anaconda.org/conda-forge/plotly-resampler) (📥 32K · ⏱️ 11.08.2023): - ``` - conda install -c conda-forge plotly-resampler - ``` -
vega (🥉24 · ⭐ 360) - IPython/Jupyter notebook module for Vega and Vega-Lite. BSD-3 -- [GitHub](https://github.com/vega/ipyvega) (👨‍💻 15 · 🔀 62 · 📦 2 · 📋 100 - 12% open · ⏱️ 01.11.2023): +- [GitHub](https://github.com/vega/ipyvega) (👨‍💻 15 · 🔀 62 · 📦 3 · 📋 100 - 12% open · ⏱️ 01.12.2023): ``` git clone https://github.com/vega/ipyvega ``` -- [PyPi](https://pypi.org/project/vega) (📥 9.2K / month · 📦 83 · ⏱️ 10.02.2022): +- [PyPi](https://pypi.org/project/vega) (📥 8.2K / month · 📦 83 · ⏱️ 12.04.2023): ``` pip install vega ``` @@ -1396,14 +1396,14 @@ _General-purpose and task-specific data visualization libraries._ pip install pandas-bokeh ```
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python-ternary (🥉23 · ⭐ 660) - Ternary plotting library for python with matplotlib. MIT +
python-ternary (🥉22 · ⭐ 660) - Ternary plotting library for python with matplotlib. MIT -- [GitHub](https://github.com/marcharper/python-ternary) (👨‍💻 27 · 🔀 160 · 📥 25 · 📦 150 · 📋 140 - 25% open · ⏱️ 26.09.2023): +- [GitHub](https://github.com/marcharper/python-ternary) (👨‍💻 27 · 🔀 160 · 📥 25 · 📦 160 · 📋 140 - 25% open · ⏱️ 26.09.2023): ``` git clone https://github.com/marcharper/python-ternary ``` -- [PyPi](https://pypi.org/project/python-ternary) (📥 40K / month · 📦 25 · ⏱️ 17.02.2021): +- [PyPi](https://pypi.org/project/python-ternary) (📥 42K / month · 📦 25 · ⏱️ 17.02.2021): ``` pip install python-ternary ``` @@ -1412,32 +1412,32 @@ _General-purpose and task-specific data visualization libraries._ conda install -c conda-forge python-ternary ```
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PDPbox (🥉21 · ⭐ 790) - python partial dependence plot toolbox. MIT +
Popmon (🥉21 · ⭐ 480) - Monitor the stability of a Pandas or Spark dataframe. MIT -- [GitHub](https://github.com/SauceCat/PDPbox) (👨‍💻 7 · 🔀 130 · 📋 65 - 40% open · ⏱️ 05.06.2023): +- [GitHub](https://github.com/ing-bank/popmon) (👨‍💻 17 · 🔀 35 · 📥 130 · 📦 20 · 📋 55 - 27% open · ⏱️ 18.07.2023): ``` - git clone https://github.com/SauceCat/PDPbox - ``` -- [PyPi](https://pypi.org/project/pdpbox) (📥 25K / month · 📦 26 · ⏱️ 14.03.2021): - ``` - pip install pdpbox + git clone https://github.com/ing-bank/popmon ``` -- [Conda](https://anaconda.org/conda-forge/pdpbox) (📥 20K · ⏱️ 10.06.2023): +- [PyPi](https://pypi.org/project/popmon) (📥 9.1K / month · 📦 2 · ⏱️ 18.07.2023): ``` - conda install -c conda-forge pdpbox + pip install popmon ```
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Popmon (🥉21 · ⭐ 470) - Monitor the stability of a Pandas or Spark dataframe. MIT +
PDPbox (🥉20 · ⭐ 790) - python partial dependence plot toolbox. MIT -- [GitHub](https://github.com/ing-bank/popmon) (👨‍💻 17 · 🔀 35 · 📥 130 · 📦 20 · 📋 55 - 27% open · ⏱️ 18.07.2023): +- [GitHub](https://github.com/SauceCat/PDPbox) (👨‍💻 7 · 🔀 130 · 📋 66 - 40% open · ⏱️ 05.06.2023): ``` - git clone https://github.com/ing-bank/popmon + git clone https://github.com/SauceCat/PDPbox ``` -- [PyPi](https://pypi.org/project/popmon) (📥 8.6K / month · 📦 2 · ⏱️ 18.07.2023): +- [PyPi](https://pypi.org/project/pdpbox) (📥 25K / month · 📦 26 · ⏱️ 14.03.2021): ``` - pip install popmon + pip install pdpbox + ``` +- [Conda](https://anaconda.org/conda-forge/pdpbox) (📥 20K · ⏱️ 10.06.2023): + ``` + conda install -c conda-forge pdpbox ```
ivis (🥉20 · ⭐ 300) - Dimensionality reduction in very large datasets using Siamese.. Apache-2 @@ -1457,7 +1457,7 @@ _General-purpose and task-specific data visualization libraries._ - cartopy (🥈34 · ⭐ 1.3K) - Cartopy - a cartographic python library with matplotlib support. ❗️LGPL-3.0 - Cufflinks (🥉29 · ⭐ 2.9K · 💀) - Productivity Tools for Plotly + Pandas. MIT - HyperTools (🥉25 · ⭐ 1.8K · 💀) - A Python toolbox for gaining geometric insights into high-.. MIT -- PandasGUI (🥉23 · ⭐ 3.1K) - A GUI for Pandas DataFrames. ❗️MIT-0 +- PandasGUI (🥉24 · ⭐ 3.1K) - A GUI for Pandas DataFrames. ❗️MIT-0 - pivottablejs (🥉23 · ⭐ 630 · 💀) - Dragndrop Pivot Tables and Charts for Jupyter/IPython.. MIT - joypy (🥉21 · ⭐ 500 · 💀) - Joyplots in Python with matplotlib & pandas. MIT - PyWaffle (🥉20 · ⭐ 560 · 💀) - Make Waffle Charts in Python. MIT @@ -1465,7 +1465,7 @@ _General-purpose and task-specific data visualization libraries._ - animatplot (🥉18 · ⭐ 400 · 💀) - A python package for animating plots build on matplotlib. MIT - data-describe (🥉17 · ⭐ 290 · 💀) - datadescribe: Pythonic EDA Accelerator for Data Science. Apache-2 - pdvega (🥉16 · ⭐ 340 · 💀) - Interactive plotting for Pandas using Vega-Lite. MIT -- nx-altair (🥉16 · ⭐ 220 · 💀) - Draw interactive NetworkX graphs with Altair. MIT +- nx-altair (🥉15 · ⭐ 220 · 💀) - Draw interactive NetworkX graphs with Altair. MIT - nptsne (🥉12 · ⭐ 30 · 💀) - nptsne is a numpy compatible python binary package that offers a.. Apache-2

@@ -1478,7 +1478,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
transformers (🥇50 · ⭐ 120K) - Transformers: State-of-the-art Machine Learning for.. Apache-2 -- [GitHub](https://github.com/huggingface/transformers) (👨‍💻 2.3K · 🔀 23K · 📦 120K · 📋 14K - 6% open · ⏱️ 30.11.2023): +- [GitHub](https://github.com/huggingface/transformers) (👨‍💻 2.3K · 🔀 23K · 📦 120K · 📋 14K - 6% open · ⏱️ 07.12.2023): ``` git clone https://github.com/huggingface/transformers @@ -1494,12 +1494,12 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
spaCy (🥇45 · ⭐ 28K) - Industrial-strength Natural Language Processing (NLP) in Python. MIT -- [GitHub](https://github.com/explosion/spaCy) (👨‍💻 740 · 🔀 4.2K · 📦 75K · 📋 5.5K - 1% open · ⏱️ 29.11.2023): +- [GitHub](https://github.com/explosion/spaCy) (👨‍💻 740 · 🔀 4.2K · 📦 76K · 📋 5.5K - 1% open · ⏱️ 04.12.2023): ``` git clone https://github.com/explosion/spaCy ``` -- [PyPi](https://pypi.org/project/spacy) (📥 6.3M / month · 📦 2.9K · ⏱️ 16.10.2023): +- [PyPi](https://pypi.org/project/spacy) (📥 6.7M / month · 📦 2.9K · ⏱️ 16.10.2023): ``` pip install spacy ``` @@ -1510,12 +1510,12 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
nltk (🥇43 · ⭐ 13K) - Suite of libraries and programs for symbolic and statistical natural.. Apache-2 -- [GitHub](https://github.com/nltk/nltk) (👨‍💻 440 · 🔀 2.8K · 📦 230K · 📋 1.8K - 15% open · ⏱️ 09.11.2023): +- [GitHub](https://github.com/nltk/nltk) (👨‍💻 440 · 🔀 2.8K · 📦 240K · 📋 1.8K - 15% open · ⏱️ 09.11.2023): ``` git clone https://github.com/nltk/nltk ``` -- [PyPi](https://pypi.org/project/nltk) (📥 13M / month · 📦 13K · ⏱️ 02.01.2023): +- [PyPi](https://pypi.org/project/nltk) (📥 13M / month · 📦 13K · ⏱️ 20.07.2023): ``` pip install nltk ``` @@ -1531,7 +1531,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/RasaHQ/rasa ``` -- [PyPi](https://pypi.org/project/rasa) (📥 140K / month · 📦 67 · ⏱️ 20.11.2023): +- [PyPi](https://pypi.org/project/rasa) (📥 140K / month · 📦 67 · ⏱️ 05.12.2023): ``` pip install rasa ``` @@ -1554,12 +1554,12 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
flair (🥇39 · ⭐ 13K) - A very simple framework for state-of-the-art Natural Language Processing.. MIT -- [GitHub](https://github.com/flairNLP/flair) (👨‍💻 250 · 🔀 2K · 📦 2.9K · 📋 2.2K - 2% open · ⏱️ 12.11.2023): +- [GitHub](https://github.com/flairNLP/flair) (👨‍💻 250 · 🔀 2K · 📦 2.9K · 📋 2.2K - 2% open · ⏱️ 05.12.2023): ``` git clone https://github.com/flairNLP/flair ``` -- [PyPi](https://pypi.org/project/flair) (📥 160K / month · 📦 90 · ⏱️ 28.10.2023): +- [PyPi](https://pypi.org/project/flair) (📥 160K / month · 📦 93 · ⏱️ 28.10.2023): ``` pip install flair ``` @@ -1568,69 +1568,69 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we conda install -c conda-forge python-flair ```
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Tokenizers (🥇37 · ⭐ 7.8K) - Fast State-of-the-Art Tokenizers optimized for Research and.. Apache-2 +
sentence-transformers (🥇37 · ⭐ 13K) - Multilingual Sentence & Image Embeddings with BERT. Apache-2 -- [GitHub](https://github.com/huggingface/tokenizers) (👨‍💻 82 · 🔀 660 · 📥 33 · 📦 51K · 📋 870 - 33% open · ⏱️ 20.11.2023): +- [GitHub](https://github.com/UKPLab/sentence-transformers) (👨‍💻 120 · 🔀 2.1K · 📦 20K · 📋 1.8K - 56% open · ⏱️ 07.12.2023): ``` - git clone https://github.com/huggingface/tokenizers + git clone https://github.com/UKPLab/sentence-transformers ``` -- [PyPi](https://pypi.org/project/tokenizers) (📥 15M / month · 📦 350 · ⏱️ 14.11.2023): +- [PyPi](https://pypi.org/project/sentence-transformers) (📥 2.9M / month · 📦 590 · ⏱️ 26.06.2022): ``` - pip install tokenizers + pip install sentence-transformers ``` -- [Conda](https://anaconda.org/conda-forge/tokenizers) (📥 1.4M · ⏱️ 16.11.2023): +- [Conda](https://anaconda.org/conda-forge/sentence-transformers) (📥 190K · ⏱️ 16.06.2023): ``` - conda install -c conda-forge tokenizers + conda install -c conda-forge sentence-transformers ```
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fairseq (🥇36 · ⭐ 28K) - Facebook AI Research Sequence-to-Sequence Toolkit written in Python. MIT +
Tokenizers (🥇37 · ⭐ 7.9K) - Fast State-of-the-Art Tokenizers optimized for Research and.. Apache-2 -- [GitHub](https://github.com/facebookresearch/fairseq) (👨‍💻 420 · 🔀 6.1K · 📥 320 · 📦 2.4K · 📋 4.1K - 26% open · ⏱️ 10.10.2023): +- [GitHub](https://github.com/huggingface/tokenizers) (👨‍💻 82 · 🔀 670 · 📥 33 · 📦 52K · 📋 880 - 33% open · ⏱️ 05.12.2023): ``` - git clone https://github.com/facebookresearch/fairseq + git clone https://github.com/huggingface/tokenizers ``` -- [PyPi](https://pypi.org/project/fairseq) (📥 360K / month · 📦 64 · ⏱️ 27.06.2022): +- [PyPi](https://pypi.org/project/tokenizers) (📥 16M / month · 📦 360 · ⏱️ 14.11.2023): ``` - pip install fairseq + pip install tokenizers ``` -- [Conda](https://anaconda.org/conda-forge/fairseq) (📥 56K · ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/tokenizers) (📥 1.4M · ⏱️ 16.11.2023): ``` - conda install -c conda-forge fairseq + conda install -c conda-forge tokenizers ```
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sentence-transformers (🥇36 · ⭐ 13K) - Multilingual Sentence & Image Embeddings with BERT. Apache-2 +
fairseq (🥇36 · ⭐ 28K) - Facebook AI Research Sequence-to-Sequence Toolkit written in Python. MIT -- [GitHub](https://github.com/UKPLab/sentence-transformers) (👨‍💻 120 · 🔀 2.1K · 📦 19K · 📋 1.8K - 56% open · ⏱️ 20.09.2023): +- [GitHub](https://github.com/facebookresearch/fairseq) (👨‍💻 420 · 🔀 6.1K · 📥 320 · 📦 2.4K · 📋 4.1K - 26% open · ⏱️ 10.10.2023): ``` - git clone https://github.com/UKPLab/sentence-transformers + git clone https://github.com/facebookresearch/fairseq ``` -- [PyPi](https://pypi.org/project/sentence-transformers) (📥 2.9M / month · 📦 420 · ⏱️ 26.06.2022): +- [PyPi](https://pypi.org/project/fairseq) (📥 370K / month · 📦 69 · ⏱️ 27.06.2022): ``` - pip install sentence-transformers + pip install fairseq ``` -- [Conda](https://anaconda.org/conda-forge/sentence-transformers) (📥 190K · ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/fairseq) (📥 57K · ⏱️ 03.12.2023): ``` - conda install -c conda-forge sentence-transformers + conda install -c conda-forge fairseq ```
NeMo (🥇36 · ⭐ 8.6K) - NeMo: a toolkit for conversational AI. Apache-2 -- [GitHub](https://github.com/NVIDIA/NeMo) (👨‍💻 260 · 🔀 1.9K · 📥 100K · 📦 21 · 📋 1.9K - 4% open · ⏱️ 28.11.2023): +- [GitHub](https://github.com/NVIDIA/NeMo) (👨‍💻 260 · 🔀 1.9K · 📥 100K · 📦 21 · 📋 1.9K - 4% open · ⏱️ 07.12.2023): ``` git clone https://github.com/NVIDIA/NeMo ``` -- [PyPi](https://pypi.org/project/nemo-toolkit) (📥 39K / month · 📦 10 · ⏱️ 25.10.2023): +- [PyPi](https://pypi.org/project/nemo-toolkit) (📥 37K / month · 📦 10 · ⏱️ 25.10.2023): ``` pip install nemo-toolkit ```
spark-nlp (🥇36 · ⭐ 3.5K) - State of the Art Natural Language Processing. Apache-2 -- [GitHub](https://github.com/JohnSnowLabs/spark-nlp) (👨‍💻 110 · 🔀 670 · 📦 360 · 📋 830 - 4% open · ⏱️ 14.11.2023): +- [GitHub](https://github.com/JohnSnowLabs/spark-nlp) (👨‍💻 110 · 🔀 680 · 📦 370 · 📋 840 - 5% open · ⏱️ 14.11.2023): ``` git clone https://github.com/JohnSnowLabs/spark-nlp @@ -1640,14 +1640,14 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we pip install spark-nlp ```
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fastText (🥈35 · ⭐ 25K · 📈) - Library for fast text representation and classification. MIT +
fastText (🥈35 · ⭐ 25K) - Library for fast text representation and classification. MIT - [GitHub](https://github.com/facebookresearch/fastText) (👨‍💻 67 · 🔀 4.6K · 📦 5.3K · 📋 1.2K - 47% open · ⏱️ 27.11.2023): ``` git clone https://github.com/facebookresearch/fastText ``` -- [PyPi](https://pypi.org/project/fasttext) (📥 930K / month · 📦 220 · ⏱️ 28.04.2020): +- [PyPi](https://pypi.org/project/fasttext) (📥 900K / month · 📦 220 · ⏱️ 28.04.2020): ``` pip install fasttext ``` @@ -1656,34 +1656,18 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we conda install -c conda-forge fasttext ```
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haystack (🥈35 · ⭐ 12K · 📉) - LLM orchestration framework to build customizable, production-.. Apache-2 +
haystack (🥈35 · ⭐ 12K) - LLM orchestration framework to build customizable, production-ready.. Apache-2 -- [GitHub](https://github.com/deepset-ai/haystack) (👨‍💻 220 · 🔀 1.5K · 📥 23 · 📦 37 · 📋 2.7K - 16% open · ⏱️ 30.11.2023): +- [GitHub](https://github.com/deepset-ai/haystack) (👨‍💻 220 · 🔀 1.5K · 📥 23 · 📦 40 · 📋 2.8K - 14% open · ⏱️ 07.12.2023): ``` git clone https://github.com/deepset-ai/haystack ``` -- [PyPi](https://pypi.org/project/haystack) (📥 2.3K / month · 📦 87 · ⏱️ 03.07.2017): +- [PyPi](https://pypi.org/project/haystack) (📥 2.3K / month · 📦 87 · ⏱️ 15.12.2021): ``` pip install haystack ```
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AllenNLP (🥈35 · ⭐ 12K · 💤) - An open-source NLP research library, built on PyTorch. Apache-2 - -- [GitHub](https://github.com/allenai/allennlp) (👨‍💻 260 · 🔀 2.3K · 📥 62 · 📦 3.8K · 📋 2.6K - 3% open · ⏱️ 22.11.2022): - - ``` - git clone https://github.com/allenai/allennlp - ``` -- [PyPi](https://pypi.org/project/allennlp) (📥 51K / month · 📦 190 · ⏱️ 18.10.2022): - ``` - pip install allennlp - ``` -- [Conda](https://anaconda.org/conda-forge/allennlp) (📥 120K · ⏱️ 16.06.2023): - ``` - conda install -c conda-forge allennlp - ``` -
TextBlob (🥈35 · ⭐ 8.8K · 💤) - Simple, Pythonic, text processing--Sentiment analysis, part-of-.. MIT - [GitHub](https://github.com/sloria/TextBlob) (👨‍💻 36 · 🔀 1.1K · 📥 110 · 📦 34K · 📋 270 - 42% open · ⏱️ 11.03.2023): @@ -1691,7 +1675,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/sloria/TextBlob ``` -- [PyPi](https://pypi.org/project/textblob) (📥 560K / month · 📦 1.4K · ⏱️ 22.10.2021): +- [PyPi](https://pypi.org/project/textblob) (📥 600K / month · 📦 1.4K · ⏱️ 22.10.2021): ``` pip install textblob ``` @@ -1707,7 +1691,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/google/sentencepiece ``` -- [PyPi](https://pypi.org/project/sentencepiece) (📥 10M / month · 📦 810 · ⏱️ 02.05.2023): +- [PyPi](https://pypi.org/project/sentencepiece) (📥 11M / month · 📦 910 · ⏱️ 02.05.2023): ``` pip install sentencepiece ``` @@ -1716,14 +1700,14 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we conda install -c conda-forge sentencepiece ```
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stanza (🥈34 · ⭐ 6.9K) - Stanford NLP Python library for tokenization, sentence segmentation,.. Apache-2 +
stanza (🥈35 · ⭐ 6.9K) - Stanford NLP Python library for tokenization, sentence segmentation,.. Apache-2 -- [GitHub](https://github.com/stanfordnlp/stanza) (👨‍💻 64 · 🔀 890 · 📦 2.3K · 📋 830 - 9% open · ⏱️ 06.10.2023): +- [GitHub](https://github.com/stanfordnlp/stanza) (👨‍💻 66 · 🔀 900 · 📦 2.3K · 📋 830 - 9% open · ⏱️ 02.12.2023): ``` git clone https://github.com/stanfordnlp/stanza ``` -- [PyPi](https://pypi.org/project/stanza) (📥 180K / month · 📦 92 · ⏱️ 06.10.2023): +- [PyPi](https://pypi.org/project/stanza) (📥 190K / month · 📦 93 · ⏱️ 03.12.2023): ``` pip install stanza ``` @@ -1734,7 +1718,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
OpenNMT (🥈34 · ⭐ 6.4K) - Open Source Neural Machine Translation and (Large) Language Models.. MIT -- [GitHub](https://github.com/OpenNMT/OpenNMT-py) (👨‍💻 190 · 🔀 2.2K · 📦 240 · 📋 1.4K - 1% open · ⏱️ 29.11.2023): +- [GitHub](https://github.com/OpenNMT/OpenNMT-py) (👨‍💻 190 · 🔀 2.2K · 📦 240 · 📋 1.4K - 1% open · ⏱️ 04.12.2023): ``` git clone https://github.com/OpenNMT/OpenNMT-py @@ -1744,26 +1728,26 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we pip install OpenNMT-py ```
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litellm (🥈34 · ⭐ 3.3K · 🐣) - Call all LLM APIs using the OpenAI format. Use.. MIT o t h e r s +
litellm (🥈34 · ⭐ 3.5K · 🐣) - Call all LLM APIs using the OpenAI format. Use.. MIT o t h e r s -- [GitHub](https://github.com/BerriAI/litellm) (👨‍💻 65 · 🔀 290 · 📦 490 · 📋 790 - 16% open · ⏱️ 30.11.2023): +- [GitHub](https://github.com/BerriAI/litellm) (👨‍💻 69 · 🔀 310 · 📦 530 · 📋 870 - 16% open · ⏱️ 07.12.2023): ``` git clone https://github.com/BerriAI/litellm ``` -- [PyPi](https://pypi.org/project/litellm) (📥 190K / month · 📦 38 · ⏱️ 30.11.2023): +- [PyPi](https://pypi.org/project/litellm) (📥 200K / month · 📦 42 · ⏱️ 07.12.2023): ``` pip install litellm ```
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rubrix (🥈34 · ⭐ 2.6K) - Argilla: the open-source feedback platform for LLMs. Apache-2 +
rubrix (🥈34 · ⭐ 2.7K) - Argilla: the open-source feedback platform for LLMs. Apache-2 -- [GitHub](https://github.com/argilla-io/argilla) (👨‍💻 74 · 🔀 260 · 📦 2.1K · 📋 1.7K - 12% open · ⏱️ 30.11.2023): +- [GitHub](https://github.com/argilla-io/argilla) (👨‍💻 74 · 🔀 270 · 📦 2.1K · 📋 1.7K - 12% open · ⏱️ 30.11.2023): ``` git clone https://github.com/recognai/rubrix ``` -- [PyPi](https://pypi.org/project/rubrix) (📥 480 / month · ⏱️ 24.10.2022): +- [PyPi](https://pypi.org/project/rubrix) (📥 730 / month · ⏱️ 24.10.2022): ``` pip install rubrix ``` @@ -1779,47 +1763,35 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/tensorflow/text ``` -- [PyPi](https://pypi.org/project/tensorflow-text) (📥 3.6M / month · 📦 130 · ⏱️ 15.11.2023): +- [PyPi](https://pypi.org/project/tensorflow-text) (📥 3.4M / month · 📦 130 · ⏱️ 15.11.2023): ``` pip install tensorflow-text ```
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ParlAI (🥈33 · ⭐ 10K) - A framework for training and evaluating AI models on a variety of.. MIT - -- [GitHub](https://github.com/facebookresearch/ParlAI) (👨‍💻 220 · 🔀 2.1K · 📦 21 · 📋 1.5K - 3% open · ⏱️ 03.11.2023): - - ``` - git clone https://github.com/facebookresearch/ParlAI - ``` -- [PyPi](https://pypi.org/project/parlai) (📥 2.3K / month · 📦 5 · ⏱️ 20.09.2022): - ``` - pip install parlai - ``` -
torchtext (🥈33 · ⭐ 3.4K) - Models, data loaders and abstractions for language processing,.. BSD-3 -- [GitHub](https://github.com/pytorch/text) (👨‍💻 150 · 🔀 820 · 📋 820 - 37% open · ⏱️ 16.10.2023): +- [GitHub](https://github.com/pytorch/text) (👨‍💻 150 · 🔀 820 · 📋 820 - 37% open · ⏱️ 06.12.2023): ``` git clone https://github.com/pytorch/text ``` -- [PyPi](https://pypi.org/project/torchtext) (📥 380K / month · 📦 490 · ⏱️ 15.11.2023): +- [PyPi](https://pypi.org/project/torchtext) (📥 360K / month · 📦 490 · ⏱️ 15.11.2023): ``` pip install torchtext ```
jellyfish (🥈33 · ⭐ 1.9K) - a python library for doing approximate and phonetic matching of strings. MIT -- [GitHub](https://github.com/jamesturk/jellyfish) (👨‍💻 31 · 🔀 160 · 📦 7.4K · 📋 130 - 5% open · ⏱️ 17.11.2023): +- [GitHub](https://github.com/jamesturk/jellyfish) (👨‍💻 31 · 🔀 160 · 📦 7.5K · 📋 130 - 5% open · ⏱️ 17.11.2023): ``` git clone https://github.com/jamesturk/jellyfish ``` -- [PyPi](https://pypi.org/project/jellyfish) (📥 2.3M / month · 📦 450 · ⏱️ 17.11.2023): +- [PyPi](https://pypi.org/project/jellyfish) (📥 2.4M / month · 📦 450 · ⏱️ 17.11.2023): ``` pip install jellyfish ``` -- [Conda](https://anaconda.org/conda-forge/jellyfish) (📥 750K · ⏱️ 17.11.2023): +- [Conda](https://anaconda.org/conda-forge/jellyfish) (📥 760K · ⏱️ 17.11.2023): ``` conda install -c conda-forge jellyfish ``` @@ -1847,19 +1819,19 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/deepmipt/DeepPavlov ``` -- [PyPi](https://pypi.org/project/deeppavlov) (📥 10K / month · 📦 6 · ⏱️ 17.10.2023): +- [PyPi](https://pypi.org/project/deeppavlov) (📥 11K / month · 📦 6 · ⏱️ 17.10.2023): ``` pip install deeppavlov ```
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ftfy (🥈31 · ⭐ 3.6K) - Fixes mojibake and other glitches in Unicode text, after the fact. Apache-2 +
ftfy (🥈32 · ⭐ 3.6K) - Fixes mojibake and other glitches in Unicode text, after the fact. Apache-2 - [GitHub](https://github.com/rspeer/python-ftfy) (👨‍💻 18 · 🔀 150 · 📦 15K · 📋 140 - 12% open · ⏱️ 21.11.2023): ``` git clone https://github.com/rspeer/python-ftfy ``` -- [PyPi](https://pypi.org/project/ftfy) (📥 3.3M / month · 📦 620 · ⏱️ 21.11.2023): +- [PyPi](https://pypi.org/project/ftfy) (📥 3.5M / month · 📦 620 · ⏱️ 21.11.2023): ``` pip install ftfy ``` @@ -1868,36 +1840,48 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we conda install -c conda-forge ftfy ```
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Dedupe (🥈30 · ⭐ 3.9K · 💤) - A python library for accurate and scalable fuzzy matching, record.. MIT +
ParlAI (🥈31 · ⭐ 10K · 📉) - A framework for training and evaluating AI models on a variety of.. MIT + +- [GitHub](https://github.com/facebookresearch/ParlAI) (👨‍💻 220 · 🔀 2.1K · 📦 21 · 📋 1.5K - 3% open · ⏱️ 03.11.2023): -- [GitHub](https://github.com/dedupeio/dedupe) (👨‍💻 70 · 🔀 520 · 📦 300 · 📋 800 - 9% open · ⏱️ 17.02.2023): + ``` + git clone https://github.com/facebookresearch/ParlAI + ``` +- [PyPi](https://pypi.org/project/parlai) (📥 2.6K / month · 📦 5 · ⏱️ 20.09.2022): + ``` + pip install parlai + ``` +
+
spacy-transformers (🥈31 · ⭐ 1.3K) - Use pretrained transformers like BERT, XLNet and GPT-2.. MIT spacy + +- [GitHub](https://github.com/explosion/spacy-transformers) (👨‍💻 22 · 🔀 160 · 📦 1.4K · ⏱️ 04.12.2023): ``` - git clone https://github.com/dedupeio/dedupe + git clone https://github.com/explosion/spacy-transformers ``` -- [PyPi](https://pypi.org/project/dedupe) (📥 70K / month · 📦 49 · ⏱️ 17.02.2023): +- [PyPi](https://pypi.org/project/spacy-transformers) (📥 240K / month · 📦 43 · ⏱️ 08.11.2023): ``` - pip install dedupe + pip install spacy-transformers ``` -- [Conda](https://anaconda.org/conda-forge/dedupe) (📥 41K · ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/spacy-transformers) (📥 25K · ⏱️ 09.11.2023): ``` - conda install -c conda-forge dedupe + conda install -c conda-forge spacy-transformers ```
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TextDistance (🥈30 · ⭐ 3.2K) - Compute distance between sequences. 30+ algorithms, pure python.. MIT +
Dedupe (🥈30 · ⭐ 3.9K · 💤) - A python library for accurate and scalable fuzzy matching, record.. MIT -- [GitHub](https://github.com/life4/textdistance) (👨‍💻 14 · 🔀 250 · 📥 970 · 📦 5.3K · ⏱️ 28.09.2023): +- [GitHub](https://github.com/dedupeio/dedupe) (👨‍💻 70 · 🔀 520 · 📦 310 · 📋 800 - 9% open · ⏱️ 17.02.2023): ``` - git clone https://github.com/life4/textdistance + git clone https://github.com/dedupeio/dedupe ``` -- [PyPi](https://pypi.org/project/textdistance) (📥 400K / month · 📦 63 · ⏱️ 28.09.2023): +- [PyPi](https://pypi.org/project/dedupe) (📥 63K / month · 📦 49 · ⏱️ 17.02.2023): ``` - pip install textdistance + pip install dedupe ``` -- [Conda](https://anaconda.org/conda-forge/textdistance) (📥 500K · ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/dedupe) (📥 41K · ⏱️ 16.06.2023): ``` - conda install -c conda-forge textdistance + conda install -c conda-forge dedupe ```
GluonNLP (🥈30 · ⭐ 2.5K · 💤) - Toolkit that enables easy text preprocessing, datasets.. Apache-2 @@ -1907,71 +1891,47 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/dmlc/gluon-nlp ``` -- [PyPi](https://pypi.org/project/gluonnlp) (📥 83K / month · 📦 22 · ⏱️ 13.08.2020): +- [PyPi](https://pypi.org/project/gluonnlp) (📥 80K / month · 📦 22 · ⏱️ 13.08.2020): ``` pip install gluonnlp ```
SciSpacy (🥈30 · ⭐ 1.5K) - A full spaCy pipeline and models for scientific/biomedical documents. Apache-2 -- [GitHub](https://github.com/allenai/scispacy) (👨‍💻 32 · 🔀 200 · 📦 790 · 📋 300 - 10% open · ⏱️ 20.10.2023): +- [GitHub](https://github.com/allenai/scispacy) (👨‍💻 32 · 🔀 200 · 📦 800 · 📋 300 - 10% open · ⏱️ 20.10.2023): ``` git clone https://github.com/allenai/scispacy ``` -- [PyPi](https://pypi.org/project/scispacy) (📥 29K / month · 📦 30 · ⏱️ 30.09.2023): +- [PyPi](https://pypi.org/project/scispacy) (📥 26K / month · 📦 30 · ⏱️ 30.09.2023): ``` pip install scispacy ```
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spacy-transformers (🥈30 · ⭐ 1.3K) - Use pretrained transformers like BERT, XLNet and GPT-2.. MIT spacy +
TextDistance (🥈29 · ⭐ 3.2K) - Compute distance between sequences. 30+ algorithms, pure python.. MIT -- [GitHub](https://github.com/explosion/spacy-transformers) (👨‍💻 22 · 🔀 160 · 📦 1.4K · ⏱️ 08.11.2023): +- [GitHub](https://github.com/life4/textdistance) (👨‍💻 14 · 🔀 250 · 📥 970 · 📦 5.3K · ⏱️ 28.09.2023): ``` - git clone https://github.com/explosion/spacy-transformers - ``` -- [PyPi](https://pypi.org/project/spacy-transformers) (📥 240K / month · 📦 42 · ⏱️ 08.11.2023): - ``` - pip install spacy-transformers - ``` -- [Conda](https://anaconda.org/conda-forge/spacy-transformers) (📥 25K · ⏱️ 09.11.2023): + git clone https://github.com/life4/textdistance ``` - conda install -c conda-forge spacy-transformers +- [PyPi](https://pypi.org/project/textdistance) (📥 410K / month · 📦 65 · ⏱️ 28.09.2023): ``` -
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CLTK (🥈29 · ⭐ 810) - The Classical Language Toolkit. MIT - -- [GitHub](https://github.com/cltk/cltk) (👨‍💻 120 · 🔀 320 · 📥 48 · 📦 250 · 📋 560 - 6% open · ⏱️ 04.11.2023): - - ``` - git clone https://github.com/cltk/cltk + pip install textdistance ``` -- [PyPi](https://pypi.org/project/cltk) (📥 1.1K / month · 📦 42 · ⏱️ 04.11.2023): +- [Conda](https://anaconda.org/conda-forge/textdistance) (📥 500K · ⏱️ 16.06.2023): ``` - pip install cltk + conda install -c conda-forge textdistance ```
qdrant (🥈28 · ⭐ 15K) - Qdrant - High-performance, massive-scale Vector Database for the next.. Apache-2 -- [GitHub](https://github.com/qdrant/qdrant) (👨‍💻 70 · 🔀 810 · 📥 5.4K · 📋 810 - 19% open · ⏱️ 13.11.2023): +- [GitHub](https://github.com/qdrant/qdrant) (👨‍💻 78 · 🔀 820 · 📥 5.9K · 📋 820 - 20% open · ⏱️ 07.12.2023): ``` git clone https://github.com/qdrant/qdrant ```
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english-words (🥈28 · ⭐ 9.6K · 💤) - A text file containing 479k English words for all your.. Unlicense - -- [GitHub](https://github.com/dwyl/english-words) (👨‍💻 30 · 🔀 1.7K · 📦 2 · 📋 130 - 73% open · ⏱️ 08.11.2022): - - ``` - git clone https://github.com/dwyl/english-words - ``` -- [PyPi](https://pypi.org/project/english-words) (📥 520K / month · 📦 8 · ⏱️ 06.01.2023): - ``` - pip install english-words - ``` -
Sumy (🥈28 · ⭐ 3.3K) - Module for automatic summarization of text documents and HTML pages. Apache-2 - [GitHub](https://github.com/miso-belica/sumy) (👨‍💻 30 · 🔀 520 · 📦 2.3K · 📋 120 - 15% open · ⏱️ 10.11.2023): @@ -1979,27 +1939,39 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/miso-belica/sumy ``` -- [PyPi](https://pypi.org/project/sumy) (📥 28K / month · 📦 110 · ⏱️ 21.04.2022): +- [PyPi](https://pypi.org/project/sumy) (📥 28K / month · 📦 110 · ⏱️ 23.10.2022): ``` pip install sumy ``` -- [Conda](https://anaconda.org/conda-forge/sumy) (📥 7.1K · ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/sumy) (📥 7.2K · ⏱️ 16.06.2023): ``` conda install -c conda-forge sumy ```
DeepKE (🥈28 · ⭐ 2.5K) - An Open Toolkit for Knowledge Graph Extraction and Construction.. MIT -- [GitHub](https://github.com/zjunlp/DeepKE) (👨‍💻 30 · 🔀 580 · 📦 20 · ⏱️ 20.11.2023): +- [GitHub](https://github.com/zjunlp/DeepKE) (👨‍💻 30 · 🔀 580 · 📦 20 · ⏱️ 04.12.2023): ``` git clone https://github.com/zjunlp/deepke ``` -- [PyPi](https://pypi.org/project/deepke) (📥 700 / month · ⏱️ 21.09.2023): +- [PyPi](https://pypi.org/project/deepke) (📥 620 / month · ⏱️ 21.09.2023): ``` pip install deepke ```
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CLTK (🥈28 · ⭐ 810) - The Classical Language Toolkit. MIT + +- [GitHub](https://github.com/cltk/cltk) (👨‍💻 120 · 🔀 320 · 📥 48 · 📦 250 · 📋 560 - 6% open · ⏱️ 04.11.2023): + + ``` + git clone https://github.com/cltk/cltk + ``` +- [PyPi](https://pypi.org/project/cltk) (📥 920 / month · 📦 42 · ⏱️ 04.11.2023): + ``` + pip install cltk + ``` +
fastNLP (🥉27 · ⭐ 3K · 💤) - fastNLP: A Modularized and Extensible NLP Framework. Currently.. Apache-2 - [GitHub](https://github.com/fastnlp/fastNLP) (👨‍💻 61 · 🔀 460 · 📥 75 · 📦 160 · 📋 220 - 28% open · ⏱️ 13.12.2022): @@ -2007,31 +1979,31 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/fastnlp/fastNLP ``` -- [PyPi](https://pypi.org/project/fastnlp) (📥 31K / month · 📦 2 · ⏱️ 31.10.2022): +- [PyPi](https://pypi.org/project/fastnlp) (📥 38K / month · 📦 2 · ⏱️ 31.10.2022): ``` pip install fastnlp ```
PyTextRank (🥉27 · ⭐ 2.1K) - Python implementation of TextRank algorithms (textgraphs) for phrase.. MIT -- [GitHub](https://github.com/DerwenAI/pytextrank) (👨‍💻 19 · 🔀 390 · 📦 520 · 📋 100 - 11% open · ⏱️ 22.08.2023): +- [GitHub](https://github.com/DerwenAI/pytextrank) (👨‍💻 19 · 🔀 390 · 📦 530 · 📋 100 - 12% open · ⏱️ 22.08.2023): ``` git clone https://github.com/DerwenAI/pytextrank ``` -- [PyPi](https://pypi.org/project/pytextrank) (📥 46K / month · 📦 17 · ⏱️ 07.08.2023): +- [PyPi](https://pypi.org/project/pytextrank) (📥 45K / month · 📦 17 · ⏱️ 07.08.2023): ``` pip install pytextrank ```
Ciphey (🥉26 · ⭐ 14K) - Automatically decrypt encryptions without knowing the key or cipher, decode.. MIT -- [GitHub](https://github.com/Ciphey/Ciphey) (👨‍💻 48 · 🔀 870 · 📋 320 - 17% open · ⏱️ 12.10.2023): +- [GitHub](https://github.com/Ciphey/Ciphey) (👨‍💻 48 · 🔀 880 · 📋 320 - 17% open · ⏱️ 12.10.2023): ``` git clone https://github.com/Ciphey/Ciphey ``` -- [PyPi](https://pypi.org/project/ciphey) (📥 48K / month · ⏱️ 06.06.2021): +- [PyPi](https://pypi.org/project/ciphey) (📥 45K / month · ⏱️ 06.06.2021): ``` pip install ciphey ``` @@ -2040,6 +2012,18 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we docker pull remnux/ciphey ```
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OpenPrompt (🥉26 · ⭐ 3.9K · 💤) - An Open-Source Framework for Prompt-Learning. Apache-2 + +- [GitHub](https://github.com/thunlp/OpenPrompt) (👨‍💻 22 · 🔀 410 · 📦 92 · 📋 250 - 29% open · ⏱️ 06.05.2023): + + ``` + git clone https://github.com/thunlp/OpenPrompt + ``` +- [PyPi](https://pypi.org/project/openprompt) (📥 1.7K / month · 📦 2 · ⏱️ 06.07.2022): + ``` + pip install openprompt + ``` +
promptsource (🥉26 · ⭐ 2.3K) - Toolkit for creating, sharing and using natural language.. Apache-2 - [GitHub](https://github.com/bigscience-workshop/promptsource) (👨‍💻 65 · 🔀 300 · 📦 70 · 📋 200 - 24% open · ⏱️ 23.10.2023): @@ -2047,31 +2031,31 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/bigscience-workshop/promptsource ``` -- [PyPi](https://pypi.org/project/promptsource) (📥 9.1K / month · 📦 1 · ⏱️ 18.04.2022): +- [PyPi](https://pypi.org/project/promptsource) (📥 9.5K / month · 📦 1 · ⏱️ 18.04.2022): ``` pip install promptsource ```
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OpenPrompt (🥉25 · ⭐ 3.9K) - An Open-Source Framework for Prompt-Learning. Apache-2 +
pytorch-nlp (🥉25 · ⭐ 2.2K) - Basic Utilities for PyTorch Natural Language Processing (NLP). BSD-3 -- [GitHub](https://github.com/thunlp/OpenPrompt) (👨‍💻 22 · 🔀 400 · 📦 91 · 📋 250 - 29% open · ⏱️ 06.05.2023): +- [GitHub](https://github.com/PetrochukM/PyTorch-NLP) (👨‍💻 18 · 🔀 260 · 📦 600 · 📋 69 - 27% open · ⏱️ 04.07.2023): ``` - git clone https://github.com/thunlp/OpenPrompt + git clone https://github.com/PetrochukM/PyTorch-NLP ``` -- [PyPi](https://pypi.org/project/openprompt) (📥 1.5K / month · 📦 2 · ⏱️ 06.07.2022): +- [PyPi](https://pypi.org/project/pytorch-nlp) (📥 8.6K / month · 📦 19 · ⏱️ 04.11.2019): ``` - pip install openprompt + pip install pytorch-nlp ```
scattertext (🥉25 · ⭐ 2.2K) - Beautiful visualizations of how language differs among document.. Apache-2 -- [GitHub](https://github.com/JasonKessler/scattertext) (👨‍💻 14 · 🔀 280 · 📦 460 · 📋 99 - 21% open · ⏱️ 05.09.2023): +- [GitHub](https://github.com/JasonKessler/scattertext) (👨‍💻 14 · 🔀 280 · 📦 470 · 📋 99 - 21% open · ⏱️ 05.09.2023): ``` git clone https://github.com/JasonKessler/scattertext ``` -- [PyPi](https://pypi.org/project/scattertext) (📥 11K / month · 📦 10 · ⏱️ 26.03.2022): +- [PyPi](https://pypi.org/project/scattertext) (📥 11K / month · 📦 10 · ⏱️ 18.04.2023): ``` pip install scattertext ``` @@ -2080,44 +2064,32 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we conda install -c conda-forge scattertext ```
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sense2vec (🥉25 · ⭐ 1.6K · 💤) - Contextually-keyed word vectors. MIT - -- [GitHub](https://github.com/explosion/sense2vec) (👨‍💻 19 · 🔀 240 · 📥 60K · 📦 300 · 📋 110 - 19% open · ⏱️ 20.04.2023): - - ``` - git clone https://github.com/explosion/sense2vec - ``` -- [PyPi](https://pypi.org/project/sense2vec) (📥 1.8K / month · 📦 13 · ⏱️ 19.04.2021): - ``` - pip install sense2vec - ``` -- [Conda](https://anaconda.org/conda-forge/sense2vec) (📥 35K · ⏱️ 22.09.2023): - ``` - conda install -c conda-forge sense2vec - ``` -
T5 (🥉24 · ⭐ 5.6K) - Code for the paper Exploring the Limits of Transfer Learning with a.. Apache-2 -- [GitHub](https://github.com/google-research/text-to-text-transfer-transformer) (👨‍💻 57 · 🔀 730 · 📋 450 - 23% open · ⏱️ 25.10.2023): +- [GitHub](https://github.com/google-research/text-to-text-transfer-transformer) (👨‍💻 58 · 🔀 730 · 📋 450 - 23% open · ⏱️ 30.11.2023): ``` git clone https://github.com/google-research/text-to-text-transfer-transformer ``` -- [PyPi](https://pypi.org/project/t5) (📥 49K / month · 📦 2 · ⏱️ 18.10.2021): +- [PyPi](https://pypi.org/project/t5) (📥 40K / month · 📦 2 · ⏱️ 18.10.2021): ``` pip install t5 ```
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pytorch-nlp (🥉24 · ⭐ 2.2K) - Basic Utilities for PyTorch Natural Language Processing (NLP). BSD-3 +
sense2vec (🥉24 · ⭐ 1.6K · 💤) - Contextually-keyed word vectors. MIT -- [GitHub](https://github.com/PetrochukM/PyTorch-NLP) (👨‍💻 18 · 🔀 260 · 📦 600 · 📋 69 - 27% open · ⏱️ 04.07.2023): +- [GitHub](https://github.com/explosion/sense2vec) (👨‍💻 19 · 🔀 240 · 📥 61K · 📦 300 · 📋 110 - 19% open · ⏱️ 20.04.2023): ``` - git clone https://github.com/PetrochukM/PyTorch-NLP + git clone https://github.com/explosion/sense2vec ``` -- [PyPi](https://pypi.org/project/pytorch-nlp) (📥 7.5K / month · 📦 19 · ⏱️ 04.11.2019): +- [PyPi](https://pypi.org/project/sense2vec) (📥 1.8K / month · 📦 13 · ⏱️ 19.04.2021): ``` - pip install pytorch-nlp + pip install sense2vec + ``` +- [Conda](https://anaconda.org/conda-forge/sense2vec) (📥 35K · ⏱️ 22.09.2023): + ``` + conda install -c conda-forge sense2vec ```
Texthero (🥉23 · ⭐ 2.8K) - Text preprocessing, representation and visualization from zero to hero. MIT @@ -2127,35 +2099,19 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/jbesomi/texthero ``` -- [PyPi](https://pypi.org/project/texthero) (📥 13K / month · 📦 6 · ⏱️ 01.07.2021): +- [PyPi](https://pypi.org/project/texthero) (📥 12K / month · 📦 6 · ⏱️ 01.07.2021): ``` pip install texthero ```
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YouTokenToMe (🥉23 · ⭐ 920 · 💤) - Unsupervised text tokenizer focused on computational efficiency. MIT - -- [GitHub](https://github.com/VKCOM/YouTokenToMe) (👨‍💻 8 · 🔀 79 · 📦 560 · 📋 63 - 57% open · ⏱️ 29.03.2023): - - ``` - git clone https://github.com/vkcom/youtokentome - ``` -- [PyPi](https://pypi.org/project/youtokentome) (📥 42K / month · 📦 23 · ⏱️ 12.02.2020): - ``` - pip install youtokentome - ``` -- [Conda](https://anaconda.org/conda-forge/youtokentome) (📥 39K · ⏱️ 27.09.2023): - ``` - conda install -c conda-forge youtokentome - ``` -
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detoxify (🥉23 · ⭐ 760) - Trained models & code to predict toxic comments on all 3 Jigsaw.. Apache-2 +
detoxify (🥉23 · ⭐ 770) - Trained models & code to predict toxic comments on all 3 Jigsaw.. Apache-2 -- [GitHub](https://github.com/unitaryai/detoxify) (👨‍💻 11 · 🔀 100 · 📥 320K · 📦 450 · 📋 58 - 58% open · ⏱️ 23.08.2023): +- [GitHub](https://github.com/unitaryai/detoxify) (👨‍💻 11 · 🔀 100 · 📥 320K · 📦 460 · 📋 59 - 59% open · ⏱️ 23.08.2023): ``` git clone https://github.com/unitaryai/detoxify ``` -- [PyPi](https://pypi.org/project/detoxify) (📥 21K / month · 📦 10 · ⏱️ 19.12.2022): +- [PyPi](https://pypi.org/project/detoxify) (📥 20K / month · 📦 10 · ⏱️ 19.12.2022): ``` pip install detoxify ``` @@ -2167,7 +2123,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/EricFillion/happy-transformer ``` -- [PyPi](https://pypi.org/project/happytransformer) (📥 2.7K / month · 📦 5 · ⏱️ 05.08.2023): +- [PyPi](https://pypi.org/project/happytransformer) (📥 3K / month · 📦 5 · ⏱️ 05.08.2023): ``` pip install happytransformer ``` @@ -2179,21 +2135,25 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/utterworks/fast-bert ``` -- [PyPi](https://pypi.org/project/fast-bert) (📥 1.3K / month · 📦 2 · ⏱️ 27.07.2023): +- [PyPi](https://pypi.org/project/fast-bert) (📥 1.5K / month · 📦 2 · ⏱️ 27.07.2023): ``` pip install fast-bert ```
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Sockeye (🥉22 · ⭐ 1.2K) - Sequence-to-sequence framework with a focus on Neural Machine.. Apache-2 +
YouTokenToMe (🥉22 · ⭐ 920 · 💤) - Unsupervised text tokenizer focused on computational efficiency. MIT -- [GitHub](https://github.com/awslabs/sockeye) (👨‍💻 60 · 🔀 330 · 📥 17 · 📋 300 - 1% open · ⏱️ 17.10.2023): +- [GitHub](https://github.com/VKCOM/YouTokenToMe) (👨‍💻 8 · 🔀 79 · 📦 570 · 📋 63 - 57% open · ⏱️ 29.03.2023): ``` - git clone https://github.com/awslabs/sockeye + git clone https://github.com/vkcom/youtokentome ``` -- [PyPi](https://pypi.org/project/sockeye) (📥 440 / month · 📦 2 · ⏱️ 12.06.2017): +- [PyPi](https://pypi.org/project/youtokentome) (📥 40K / month · 📦 23 · ⏱️ 12.02.2020): ``` - pip install sockeye + pip install youtokentome + ``` +- [Conda](https://anaconda.org/conda-forge/youtokentome) (📥 39K · ⏱️ 27.09.2023): + ``` + conda install -c conda-forge youtokentome ```
finetune (🥉22 · ⭐ 690) - Scikit-learn style model finetuning for NLP. MPL-2.0 @@ -2203,31 +2163,31 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/IndicoDataSolutions/finetune ``` -- [PyPi](https://pypi.org/project/finetune) (📥 130 / month · 📦 2 · ⏱️ 29.09.2023): +- [PyPi](https://pypi.org/project/finetune) (📥 140 / month · 📦 2 · ⏱️ 29.09.2023): ``` pip install finetune ```
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NLP Architect (🥉21 · ⭐ 2.9K · 💤) - A model library for exploring state-of-the-art deep.. Apache-2 +
Sockeye (🥉21 · ⭐ 1.2K) - Sequence-to-sequence framework with a focus on Neural Machine.. Apache-2 -- [GitHub](https://github.com/IntelLabs/nlp-architect) (👨‍💻 38 · 🔀 450 · 📦 9 · 📋 130 - 16% open · ⏱️ 07.11.2022): +- [GitHub](https://github.com/awslabs/sockeye) (👨‍💻 60 · 🔀 330 · 📥 17 · 📋 300 - 1% open · ⏱️ 17.10.2023): ``` - git clone https://github.com/IntelLabs/nlp-architect + git clone https://github.com/awslabs/sockeye ``` -- [PyPi](https://pypi.org/project/nlp-architect) (📥 210 / month · ⏱️ 12.04.2020): +- [PyPi](https://pypi.org/project/sockeye) (📥 470 / month · 📦 2 · ⏱️ 03.03.2023): ``` - pip install nlp-architect + pip install sockeye ```
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lightseq (🥉20 · ⭐ 3K) - LightSeq: A High Performance Library for Sequence Processing and.. Apache-2 +
lightseq (🥉20 · ⭐ 3K · 💤) - LightSeq: A High Performance Library for Sequence Processing and.. Apache-2 - [GitHub](https://github.com/bytedance/lightseq) (👨‍💻 17 · 🔀 310 · 📥 670 · 📋 280 - 61% open · ⏱️ 10.05.2023): ``` git clone https://github.com/bytedance/lightseq ``` -- [PyPi](https://pypi.org/project/lightseq) (📥 1.6K / month · 📦 2 · ⏱️ 03.11.2022): +- [PyPi](https://pypi.org/project/lightseq) (📥 1.2K / month · 📦 2 · ⏱️ 03.11.2022): ``` pip install lightseq ``` @@ -2239,7 +2199,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/webis-de/small-text ``` -- [PyPi](https://pypi.org/project/small-text) (📥 710 / month · ⏱️ 19.08.2023): +- [PyPi](https://pypi.org/project/small-text) (📥 780 / month · ⏱️ 19.08.2023): ``` pip install small-text ``` @@ -2255,7 +2215,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/unum-cloud/uform ``` -- [PyPi](https://pypi.org/project/uform) (📥 540 / month · ⏱️ 13.10.2023): +- [PyPi](https://pypi.org/project/uform) (📥 600 / month · ⏱️ 13.10.2023): ``` pip install uform ``` @@ -2267,7 +2227,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/dsfsi/textaugment ``` -- [PyPi](https://pypi.org/project/textaugment) (📥 4.7K / month · 📦 4 · ⏱️ 16.11.2023): +- [PyPi](https://pypi.org/project/textaugment) (📥 4.8K / month · 📦 4 · ⏱️ 16.11.2023): ``` pip install textaugment ``` @@ -2280,73 +2240,76 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we git clone https://github.com/thunlp/OpenNRE ```
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TextBox (🥉15 · ⭐ 1K) - TextBox 2.0 is a text generation library with pre-trained language models. MIT +
TextBox (🥉16 · ⭐ 1K · 💤) - TextBox 2.0 is a text generation library with pre-trained language.. MIT - [GitHub](https://github.com/RUCAIBox/TextBox) (👨‍💻 18 · 🔀 120 · 📦 5 · 📋 70 - 4% open · ⏱️ 18.05.2023): ``` git clone https://github.com/RUCAIBox/TextBox ``` -- [PyPi](https://pypi.org/project/textbox) (📥 1 / month · ⏱️ 15.04.2021): +- [PyPi](https://pypi.org/project/textbox) (⏱️ 15.04.2021): ``` pip install textbox ```
VizSeq (🥉15 · ⭐ 440) - An Analysis Toolkit for Natural Language Generation (Translation,.. MIT -- [GitHub](https://github.com/facebookresearch/vizseq) (👨‍💻 3 · 🔀 57 · 📦 7 · 📋 16 - 43% open · ⏱️ 27.10.2023): +- [GitHub](https://github.com/facebookresearch/vizseq) (👨‍💻 3 · 🔀 57 · 📦 9 · 📋 16 - 43% open · ⏱️ 27.10.2023): ``` git clone https://github.com/facebookresearch/vizseq ``` -- [PyPi](https://pypi.org/project/vizseq) (📥 83 / month · ⏱️ 07.08.2020): +- [PyPi](https://pypi.org/project/vizseq) (📥 78 / month · ⏱️ 07.08.2020): ``` pip install vizseq ```
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Show 41 hidden projects... +
Show 44 hidden projects... - ChatterBot (🥈35 · ⭐ 14K · 💀) - ChatterBot is a machine learning, conversational dialog engine.. BSD-3 +- AllenNLP (🥈35 · ⭐ 12K · 💀) - An open-source NLP research library, built on PyTorch. Apache-2 - fuzzywuzzy (🥈33 · ⭐ 9K · 💀) - Fuzzy String Matching in Python. ❗️GPL-2.0 +- english-words (🥈29 · ⭐ 9.6K · 💀) - A text file containing 479k English words for all your.. Unlicense - nlpaug (🥈29 · ⭐ 4.2K · 💀) - Data augmentation for NLP. MIT +- polyglot (🥈28 · ⭐ 2.2K · 💀) - Multilingual text (NLP) processing toolkit. ❗️GPL-3.0 - langid (🥈28 · ⭐ 2.2K · 💀) - Stand-alone language identification system. BSD-3 -- textacy (🥈28 · ⭐ 2.1K · 💤) - NLP, before and after spaCy. ❗Unlicensed - underthesea (🥈28 · ⭐ 1.3K) - Underthesea - Vietnamese NLP Toolkit. ❗️GPL-3.0 - flashtext (🥉27 · ⭐ 5.5K · 💀) - Extract Keywords from sentence or Replace keywords in sentences. MIT - vaderSentiment (🥉27 · ⭐ 4.1K · 💀) - VADER Sentiment Analysis. VADER (Valence Aware Dictionary.. MIT -- polyglot (🥉27 · ⭐ 2.2K · 💀) - Multilingual text (NLP) processing toolkit. ❗️GPL-3.0 +- textacy (🥉27 · ⭐ 2.1K · 💤) - NLP, before and after spaCy. ❗Unlicensed - FARM (🥉27 · ⭐ 1.7K · 💀) - Fast & easy transfer learning for NLP. Harvesting language.. Apache-2 +- PyText (🥉25 · ⭐ 6.4K · 💀) - A natural language modeling framework based on PyTorch. BSD-3 - Snips NLU (🥉25 · ⭐ 3.8K · 💀) - Snips Python library to extract meaning from text. Apache-2 - neuralcoref (🥉25 · ⭐ 2.8K · 💀) - Fast Coreference Resolution in spaCy with Neural Networks. MIT -- whoosh (🥉25 · ⭐ 480 · 💀) - Pure-Python full-text search library. ❗️BSD-1-Clause -- PyText (🥉24 · ⭐ 6.4K · 💀) - A natural language modeling framework based on PyTorch. BSD-3 - textgenrnn (🥉24 · ⭐ 4.9K · 💀) - Easily train your own text-generating neural network of any.. MIT - MatchZoo (🥉24 · ⭐ 3.8K · 💀) - Facilitating the design, comparison and sharing of deep.. Apache-2 - pySBD (🥉24 · ⭐ 680 · 💀) - pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence.. MIT +- whoosh (🥉24 · ⭐ 480 · 💀) - Pure-Python full-text search library. ❗️BSD-1-Clause - Kashgari (🥉23 · ⭐ 2.4K · 💀) - Kashgari is a production-level NLP Transfer learning.. Apache-2 -- DeepMatcher (🥉22 · ⭐ 4.8K · 💀) - Python package for performing Entity and Text Matching using.. BSD-3 +- DeepMatcher (🥉22 · ⭐ 4.9K · 💀) - Python package for performing Entity and Text Matching using.. BSD-3 - gpt-2-simple (🥉22 · ⭐ 3.3K · 💀) - Python package to easily retrain OpenAIs GPT-2 text-.. MIT - Texar (🥉22 · ⭐ 2.4K · 💀) - Toolkit for Machine Learning, Natural Language Processing, and.. Apache-2 - jiant (🥉22 · ⭐ 1.6K · 💀) - jiant is an nlp toolkit. MIT - stop-words (🥉22 · ⭐ 150 · 💀) - Get list of common stop words in various languages in Python. BSD-3 +- NLP Architect (🥉21 · ⭐ 2.9K · 💀) - A model library for exploring state-of-the-art deep.. Apache-2 - DELTA (🥉21 · ⭐ 1.6K · 💀) - DELTA is a deep learning based natural language and speech.. Apache-2 - anaGo (🥉21 · ⭐ 1.5K · 💀) - Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition,.. MIT - pyfasttext (🥉20 · ⭐ 230 · 💀) - Yet another Python binding for fastText. ❗️GPL-3.0 -- numerizer (🥉20 · ⭐ 210) - A Python module to convert natural language numerics into ints and.. MIT +- numerizer (🥉20 · ⭐ 210 · 💤) - A Python module to convert natural language numerics into ints and.. MIT - fastT5 (🥉19 · ⭐ 510 · 💀) - boost inference speed of T5 models by 5x & reduce the model size.. Apache-2 - textpipe (🥉19 · ⭐ 300 · 💀) - Textpipe: clean and extract metadata from text. MIT - NeuroNER (🥉18 · ⭐ 1.7K · 💀) - Named-entity recognition using neural networks. Easy-to-use and.. MIT - Camphr (🥉18 · ⭐ 340 · 💀) - Camphr - NLP libary for creating pipeline components. Apache-2 spacy - nboost (🥉17 · ⭐ 670 · 💀) - NBoost is a scalable, search-api-boosting platform for deploying.. Apache-2 -- BLINK (🥉16 · ⭐ 1.1K · 💀) - Entity Linker solution. MIT +- Translate (🥉16 · ⭐ 810 · 💀) - Translate - a PyTorch Language Library. BSD-3 - skift (🥉16 · ⭐ 230 · 💀) - scikit-learn wrappers for Python fastText. MIT -- Translate (🥉15 · ⭐ 810 · 💀) - Translate - a PyTorch Language Library. BSD-3 +- BLINK (🥉14 · ⭐ 1.1K · 💀) - Entity Linker solution. MIT - Headliner (🥉14 · ⭐ 230 · 💀) - Easy training and deployment of seq2seq models. MIT - NeuralQA (🥉14 · ⭐ 230 · 💀) - NeuralQA: A Usable Library for Question Answering on Large Datasets.. MIT - TransferNLP (🥉13 · ⭐ 290 · 💀) - NLP library designed for reproducible experimentation.. MIT - ONNX-T5 (🥉13 · ⭐ 240 · 💀) - Summarization, translation, sentiment-analysis, text-generation.. Apache-2 - textvec (🥉13 · ⭐ 190 · 💀) - Text vectorization tool to outperform TFIDF for classification.. MIT -- spacy-dbpedia-spotlight (🥉12 · ⭐ 92 · 💤) - A spaCy wrapper for DBpedia Spotlight. MIT spacy +- spacy-dbpedia-spotlight (🥉12 · ⭐ 93 · 💤) - A spaCy wrapper for DBpedia Spotlight. MIT spacy

@@ -2358,12 +2321,12 @@ _Libraries for image & video processing, manipulation, and augmentation as well
Pillow (🥇47 · ⭐ 11K) - Python Imaging Library (Fork). ❗️PIL -- [GitHub](https://github.com/python-pillow/Pillow) (👨‍💻 450 · 🔀 2.1K · 📦 1.4M · 📋 3K - 3% open · ⏱️ 30.11.2023): +- [GitHub](https://github.com/python-pillow/Pillow) (👨‍💻 450 · 🔀 2.1K · 📦 1.5M · 📋 3K - 3% open · ⏱️ 06.12.2023): ``` git clone https://github.com/python-pillow/Pillow ``` -- [PyPi](https://pypi.org/project/Pillow) (📥 73M / month · 📦 67K · ⏱️ 15.10.2023): +- [PyPi](https://pypi.org/project/Pillow) (📥 74M / month · 📦 67K · ⏱️ 15.10.2023): ``` pip install Pillow ``` @@ -2374,28 +2337,28 @@ _Libraries for image & video processing, manipulation, and augmentation as well
torchvision (🥇42 · ⭐ 15K) - Datasets, Transforms and Models specific to Computer Vision. BSD-3 -- [GitHub](https://github.com/pytorch/vision) (👨‍💻 560 · 🔀 6.8K · 📥 34K · 📦 21 · 📋 3.2K - 29% open · ⏱️ 23.11.2023): +- [GitHub](https://github.com/pytorch/vision) (👨‍💻 560 · 🔀 6.8K · 📥 34K · 📦 21 · 📋 3.2K - 29% open · ⏱️ 06.12.2023): ``` git clone https://github.com/pytorch/vision ``` -- [PyPi](https://pypi.org/project/torchvision) (📥 9.7M / month · 📦 4.8K · ⏱️ 15.11.2023): +- [PyPi](https://pypi.org/project/torchvision) (📥 10M / month · 📦 4.8K · ⏱️ 15.11.2023): ``` pip install torchvision ``` -- [Conda](https://anaconda.org/conda-forge/torchvision) (📥 930K · ⏱️ 29.11.2023): +- [Conda](https://anaconda.org/conda-forge/torchvision) (📥 940K · ⏱️ 29.11.2023): ``` conda install -c conda-forge torchvision ```
PyTorch Image Models (🥇41 · ⭐ 28K) - PyTorch image models, scripts, pretrained weights --.. Apache-2 -- [GitHub](https://github.com/huggingface/pytorch-image-models) (👨‍💻 120 · 🔀 4.4K · 📥 5.8M · 📦 19K · 📋 820 - 8% open · ⏱️ 27.11.2023): +- [GitHub](https://github.com/huggingface/pytorch-image-models) (👨‍💻 120 · 🔀 4.4K · 📥 5.9M · 📦 20K · 📋 820 - 8% open · ⏱️ 05.12.2023): ``` git clone https://github.com/rwightman/pytorch-image-models ``` -- [PyPi](https://pypi.org/project/timm) (📥 3.5M / month · 📦 340 · ⏱️ 24.11.2023): +- [PyPi](https://pypi.org/project/timm) (📥 3.5M / month · 📦 350 · ⏱️ 24.11.2023): ``` pip install timm ``` @@ -2406,24 +2369,24 @@ _Libraries for image & video processing, manipulation, and augmentation as well
MMDetection (🥇39 · ⭐ 26K) - OpenMMLab Detection Toolbox and Benchmark. Apache-2 -- [GitHub](https://github.com/open-mmlab/mmdetection) (👨‍💻 470 · 🔀 9K · 📦 1.9K · 📋 7.8K - 15% open · ⏱️ 12.10.2023): +- [GitHub](https://github.com/open-mmlab/mmdetection) (👨‍💻 470 · 🔀 9K · 📦 2K · 📋 7.8K - 15% open · ⏱️ 12.10.2023): ``` git clone https://github.com/open-mmlab/mmdetection ``` -- [PyPi](https://pypi.org/project/mmdet) (📥 170K / month · 📦 31 · ⏱️ 12.10.2023): +- [PyPi](https://pypi.org/project/mmdet) (📥 180K / month · 📦 32 · ⏱️ 12.10.2023): ``` pip install mmdet ```
Kornia (🥇38 · ⭐ 8.9K) - Geometric Computer Vision Library for AI. Apache-2 -- [GitHub](https://github.com/kornia/kornia) (👨‍💻 240 · 🔀 880 · 📥 870 · 📦 7.3K · 📋 850 - 29% open · ⏱️ 30.11.2023): +- [GitHub](https://github.com/kornia/kornia) (👨‍💻 240 · 🔀 880 · 📥 880 · 📦 7.4K · 📋 850 - 29% open · ⏱️ 05.12.2023): ``` git clone https://github.com/kornia/kornia ``` -- [PyPi](https://pypi.org/project/kornia) (📥 2M / month · 📦 110 · ⏱️ 02.08.2023): +- [PyPi](https://pypi.org/project/kornia) (📥 2.1M / month · 📦 120 · ⏱️ 02.08.2023): ``` pip install kornia ``` @@ -2434,7 +2397,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
imageio (🥇38 · ⭐ 1.3K) - Python library for reading and writing image data. BSD-2 -- [GitHub](https://github.com/imageio/imageio) (👨‍💻 110 · 🔀 270 · 📥 910 · 📦 110K · 📋 580 - 15% open · ⏱️ 29.11.2023): +- [GitHub](https://github.com/imageio/imageio) (👨‍💻 110 · 🔀 270 · 📥 910 · 📦 110K · 📋 580 - 15% open · ⏱️ 05.12.2023): ``` git clone https://github.com/imageio/imageio @@ -2450,7 +2413,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
MoviePy (🥈37 · ⭐ 11K) - Video editing with Python. MIT -- [GitHub](https://github.com/Zulko/moviepy) (👨‍💻 160 · 🔀 1.4K · 📦 31K · 📋 1.4K - 27% open · ⏱️ 11.07.2023): +- [GitHub](https://github.com/Zulko/moviepy) (👨‍💻 160 · 🔀 1.4K · 📦 32K · 📋 1.4K - 27% open · ⏱️ 11.07.2023): ``` git clone https://github.com/Zulko/moviepy @@ -2464,53 +2427,53 @@ _Libraries for image & video processing, manipulation, and augmentation as well conda install -c conda-forge moviepy ```
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Albumentations (🥈36 · ⭐ 13K) - Fast image augmentation library and an easy-to-use wrapper.. MIT - -- [GitHub](https://github.com/albumentations-team/albumentations) (👨‍💻 130 · 🔀 1.5K · 📦 19K · 📋 810 - 46% open · ⏱️ 05.11.2023): - - ``` - git clone https://github.com/albumentations-team/albumentations - ``` -- [PyPi](https://pypi.org/project/albumentations) (📥 1.1M / month · 📦 340 · ⏱️ 10.06.2023): - ``` - pip install albumentations - ``` -- [Conda](https://anaconda.org/conda-forge/albumentations) (📥 150K · ⏱️ 12.06.2023): - ``` - conda install -c conda-forge albumentations - ``` -
Wand (🥈36 · ⭐ 1.3K) - The ctypes-based simple ImageMagick binding for Python. MIT -- [GitHub](https://github.com/emcconville/wand) (👨‍💻 100 · 🔀 200 · 📥 32K · 📦 18K · 📋 410 - 5% open · ⏱️ 25.11.2023): +- [GitHub](https://github.com/emcconville/wand) (👨‍💻 100 · 🔀 200 · 📥 33K · 📦 18K · 📋 410 - 5% open · ⏱️ 25.11.2023): ``` git clone https://github.com/emcconville/wand ``` -- [PyPi](https://pypi.org/project/wand) (📥 920K / month · 📦 710 · ⏱️ 03.11.2023): +- [PyPi](https://pypi.org/project/wand) (📥 990K / month · 📦 710 · ⏱️ 03.11.2023): ``` pip install wand ``` -- [Conda](https://anaconda.org/conda-forge/wand) (📥 35K · ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/wand) (📥 36K · ⏱️ 16.06.2023): ``` conda install -c conda-forge wand ```
InsightFace (🥈35 · ⭐ 19K) - State-of-the-art 2D and 3D Face Analysis Project. MIT -- [GitHub](https://github.com/deepinsight/insightface) (👨‍💻 57 · 🔀 4.8K · 📥 1.1M · 📦 1.3K · 📋 2.3K - 42% open · ⏱️ 10.09.2023): +- [GitHub](https://github.com/deepinsight/insightface) (👨‍💻 57 · 🔀 4.8K · 📥 1.2M · 📦 1.3K · 📋 2.3K - 42% open · ⏱️ 10.09.2023): ``` git clone https://github.com/deepinsight/insightface ``` -- [PyPi](https://pypi.org/project/insightface) (📥 480K / month · 📦 11 · ⏱️ 17.12.2022): +- [PyPi](https://pypi.org/project/insightface) (📥 490K / month · 📦 11 · ⏱️ 17.12.2022): ``` pip install insightface ```
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deepface (🥈34 · ⭐ 8.4K) - A Lightweight Face Recognition and Facial Attribute Analysis (Age,.. MIT +
Albumentations (🥈35 · ⭐ 13K) - Fast image augmentation library and an easy-to-use wrapper.. MIT -- [GitHub](https://github.com/serengil/deepface) (👨‍💻 48 · 🔀 1.6K · 📦 2.2K · 📋 800 - 1% open · ⏱️ 27.11.2023): +- [GitHub](https://github.com/albumentations-team/albumentations) (👨‍💻 130 · 🔀 1.5K · 📦 19K · 📋 810 - 46% open · ⏱️ 07.12.2023): + + ``` + git clone https://github.com/albumentations-team/albumentations + ``` +- [PyPi](https://pypi.org/project/albumentations) (📥 1.1M / month · 📦 340 · ⏱️ 10.06.2023): + ``` + pip install albumentations + ``` +- [Conda](https://anaconda.org/conda-forge/albumentations) (📥 150K · ⏱️ 12.06.2023): + ``` + conda install -c conda-forge albumentations + ``` +
+
deepface (🥈34 · ⭐ 8.5K) - A Lightweight Face Recognition and Facial Attribute Analysis (Age,.. MIT + +- [GitHub](https://github.com/serengil/deepface) (👨‍💻 48 · 🔀 1.6K · 📦 2.2K · 📋 810 - 0% open · ⏱️ 07.12.2023): ``` git clone https://github.com/serengil/deepface @@ -2522,7 +2485,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
detectron2 (🥈33 · ⭐ 27K) - Detectron2 is a platform for object detection, segmentation.. Apache-2 -- [GitHub](https://github.com/facebookresearch/detectron2) (👨‍💻 260 · 🔀 6.7K · 📦 1.5K · 📋 3.4K - 10% open · ⏱️ 06.11.2023): +- [GitHub](https://github.com/facebookresearch/detectron2) (👨‍💻 260 · 🔀 6.7K · 📦 1.5K · 📋 3.4K - 10% open · ⏱️ 07.12.2023): ``` git clone https://github.com/facebookresearch/detectron2 @@ -2555,27 +2518,11 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/opencv/opencv-python ``` -- [PyPi](https://pypi.org/project/opencv-python) (📥 11M / month · 📦 11K · ⏱️ 28.09.2023): +- [PyPi](https://pypi.org/project/opencv-python) (📥 11M / month · 📦 12K · ⏱️ 28.09.2023): ``` pip install opencv-python ```
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imageai (🥈31 · ⭐ 8.2K) - A python library built to empower developers to build applications and.. MIT - -- [GitHub](https://github.com/OlafenwaMoses/ImageAI) (👨‍💻 19 · 🔀 2.1K · 📥 890K · 📦 1.5K · 📋 740 - 39% open · ⏱️ 26.08.2023): - - ``` - git clone https://github.com/OlafenwaMoses/ImageAI - ``` -- [PyPi](https://pypi.org/project/imageai) (📥 8.2K / month · 📦 18 · ⏱️ 02.01.2023): - ``` - pip install imageai - ``` -- [Conda](https://anaconda.org/conda-forge/imageai) (📥 6.7K · ⏱️ 16.06.2023): - ``` - conda install -c conda-forge imageai - ``` -
ImageHash (🥈31 · ⭐ 2.9K) - A Python Perceptual Image Hashing Module. BSD-2 - [GitHub](https://github.com/JohannesBuchner/imagehash) (👨‍💻 26 · 🔀 320 · 📦 11K · 📋 130 - 7% open · ⏱️ 24.10.2023): @@ -2592,14 +2539,14 @@ _Libraries for image & video processing, manipulation, and augmentation as well conda install -c conda-forge imagehash ```
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lightly (🥈31 · ⭐ 2.6K · 📈) - A python library for self-supervised learning on images. MIT +
lightly (🥈31 · ⭐ 2.6K) - A python library for self-supervised learning on images. MIT -- [GitHub](https://github.com/lightly-ai/lightly) (👨‍💻 34 · 🔀 230 · 📦 190 · 📋 480 - 20% open · ⏱️ 29.11.2023): +- [GitHub](https://github.com/lightly-ai/lightly) (👨‍💻 34 · 🔀 230 · 📦 190 · 📋 480 - 20% open · ⏱️ 06.12.2023): ``` git clone https://github.com/lightly-ai/lightly ``` -- [PyPi](https://pypi.org/project/lightly) (📥 30K / month · 📦 6 · ⏱️ 28.11.2023): +- [PyPi](https://pypi.org/project/lightly) (📥 29K / month · 📦 6 · ⏱️ 28.11.2023): ``` pip install lightly ``` @@ -2611,21 +2558,37 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/mindee/doctr ``` -- [PyPi](https://pypi.org/project/python-doctr) (📥 15K / month · 📦 3 · ⏱️ 09.09.2023): +- [PyPi](https://pypi.org/project/python-doctr) (📥 16K / month · 📦 3 · ⏱️ 09.09.2023): ``` pip install python-doctr ```
vit-pytorch (🥈30 · ⭐ 16K) - Implementation of Vision Transformer, a simple way to achieve.. MIT -- [GitHub](https://github.com/lucidrains/vit-pytorch) (👨‍💻 20 · 🔀 2.6K · 📦 360 · 📋 240 - 46% open · ⏱️ 15.11.2023): +- [GitHub](https://github.com/lucidrains/vit-pytorch) (👨‍💻 20 · 🔀 2.6K · 📦 370 · 📋 240 - 46% open · ⏱️ 15.11.2023): ``` git clone https://github.com/lucidrains/vit-pytorch ``` -- [PyPi](https://pypi.org/project/vit-pytorch) (📥 24K / month · 📦 6 · ⏱️ 15.11.2023): +- [PyPi](https://pypi.org/project/vit-pytorch) (📥 26K / month · 📦 6 · ⏱️ 15.11.2023): + ``` + pip install vit-pytorch + ``` +
+
imageai (🥈30 · ⭐ 8.2K) - A python library built to empower developers to build applications and.. MIT + +- [GitHub](https://github.com/OlafenwaMoses/ImageAI) (👨‍💻 19 · 🔀 2.1K · 📥 900K · 📦 1.5K · 📋 740 - 39% open · ⏱️ 26.08.2023): + + ``` + git clone https://github.com/OlafenwaMoses/ImageAI + ``` +- [PyPi](https://pypi.org/project/imageai) (📥 8.3K / month · 📦 18 · ⏱️ 02.01.2023): + ``` + pip install imageai + ``` +- [Conda](https://anaconda.org/conda-forge/imageai) (📥 6.7K · ⏱️ 16.06.2023): ``` - pip install vit-pytorch + conda install -c conda-forge imageai ```
Face Alignment (🥈30 · ⭐ 6.6K) - 2D and 3D Face alignment library build using pytorch. BSD-3 @@ -2635,7 +2598,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/1adrianb/face-alignment ``` -- [PyPi](https://pypi.org/project/face-alignment) (📥 64K / month · 📦 10 · ⏱️ 17.08.2023): +- [PyPi](https://pypi.org/project/face-alignment) (📥 66K / month · 📦 11 · ⏱️ 17.08.2023): ``` pip install face-alignment ``` @@ -2647,14 +2610,14 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/PaddlePaddle/PaddleDetection ``` -- [PyPi](https://pypi.org/project/paddledet) (📥 720 / month · 📦 1 · ⏱️ 19.09.2022): +- [PyPi](https://pypi.org/project/paddledet) (📥 690 / month · 📦 1 · ⏱️ 19.09.2022): ``` pip install paddledet ```
sahi (🥉29 · ⭐ 3.2K) - Framework agnostic sliced/tiled inference + interactive ui + error analysis.. MIT -- [GitHub](https://github.com/obss/sahi) (👨‍💻 36 · 🔀 470 · 📥 20K · 📦 760 · ⏱️ 25.11.2023): +- [GitHub](https://github.com/obss/sahi) (👨‍💻 36 · 🔀 470 · 📥 20K · 📦 770 · ⏱️ 25.11.2023): ``` git clone https://github.com/obss/sahi @@ -2668,18 +2631,6 @@ _Libraries for image & video processing, manipulation, and augmentation as well conda install -c conda-forge sahi ```
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vidgear (🥉29 · ⭐ 3K) - A High-performance cross-platform Video Processing Python framework.. Apache-2 - -- [GitHub](https://github.com/abhiTronix/vidgear) (👨‍💻 14 · 🔀 230 · 📥 950 · 📦 480 · 📋 270 - 1% open · ⏱️ 10.09.2023): - - ``` - git clone https://github.com/abhiTronix/vidgear - ``` -- [PyPi](https://pypi.org/project/vidgear) (📥 11K / month · 📦 9 · ⏱️ 10.09.2023): - ``` - pip install vidgear - ``` -
CellProfiler (🥉29 · ⭐ 820) - An open-source application for biological image analysis. BSD-3 - [GitHub](https://github.com/CellProfiler/CellProfiler) (👨‍💻 140 · 🔀 360 · 📥 6.3K · 📦 20 · 📋 3.2K - 8% open · ⏱️ 16.11.2023): @@ -2687,7 +2638,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/CellProfiler/CellProfiler ``` -- [PyPi](https://pypi.org/project/cellprofiler) (📥 660 / month · 📦 1 · ⏱️ 14.08.2023): +- [PyPi](https://pypi.org/project/cellprofiler) (📥 710 / month · 📦 1 · ⏱️ 14.08.2023): ``` pip install cellprofiler ``` @@ -2699,11 +2650,23 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/dmlc/gluon-cv ``` -- [PyPi](https://pypi.org/project/gluoncv) (📥 39K / month · 📦 61 · ⏱️ 07.07.2022): +- [PyPi](https://pypi.org/project/gluoncv) (📥 36K / month · 📦 61 · ⏱️ 03.02.2023): ``` pip install gluoncv ```
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vidgear (🥉28 · ⭐ 3K) - A High-performance cross-platform Video Processing Python framework.. Apache-2 + +- [GitHub](https://github.com/abhiTronix/vidgear) (👨‍💻 14 · 🔀 230 · 📥 950 · 📦 480 · 📋 270 - 1% open · ⏱️ 10.09.2023): + + ``` + git clone https://github.com/abhiTronix/vidgear + ``` +- [PyPi](https://pypi.org/project/vidgear) (📥 11K / month · 📦 9 · ⏱️ 10.09.2023): + ``` + pip install vidgear + ``` +
Augmentor (🥉27 · ⭐ 5K · 💤) - Image augmentation library in Python for machine learning. MIT - [GitHub](https://github.com/mdbloice/Augmentor) (👨‍💻 23 · 🔀 870 · 📦 670 · 📋 210 - 64% open · ⏱️ 29.03.2023): @@ -2746,7 +2709,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
Image Deduplicator (🥉25 · ⭐ 4.8K · 💤) - Finding duplicate images made easy!. Apache-2 -- [GitHub](https://github.com/idealo/imagededup) (👨‍💻 15 · 🔀 430 · 📦 68 · 📋 140 - 35% open · ⏱️ 28.04.2023): +- [GitHub](https://github.com/idealo/imagededup) (👨‍💻 15 · 🔀 430 · 📦 69 · 📋 140 - 35% open · ⏱️ 28.04.2023): ``` git clone https://github.com/idealo/imagededup @@ -2763,67 +2726,67 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/facebookresearch/pytorchvideo ``` -- [PyPi](https://pypi.org/project/pytorchvideo) (📥 87K / month · 📦 7 · ⏱️ 20.01.2022): +- [PyPi](https://pypi.org/project/pytorchvideo) (📥 97K / month · 📦 7 · ⏱️ 20.01.2022): ``` pip install pytorchvideo ```
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Norfair (🥉25 · ⭐ 2.2K) - Lightweight Python library for adding real-time multi-object tracking.. BSD-3 +
Norfair (🥉25 · ⭐ 2.2K · 💤) - Lightweight Python library for adding real-time multi-object.. BSD-3 - [GitHub](https://github.com/tryolabs/norfair) (👨‍💻 24 · 🔀 220 · 📥 290 · 📦 140 · 📋 140 - 4% open · ⏱️ 15.05.2023): ``` git clone https://github.com/tryolabs/norfair ``` -- [PyPi](https://pypi.org/project/norfair) (📥 5.4K / month · 📦 3 · ⏱️ 30.05.2022): +- [PyPi](https://pypi.org/project/norfair) (📥 5.2K / month · 📦 3 · ⏱️ 30.05.2022): ``` pip install norfair ```
MMF (🥉24 · ⭐ 5.3K) - A modular framework for vision & language multimodal research from.. BSD-3 -- [GitHub](https://github.com/facebookresearch/mmf) (👨‍💻 120 · 🔀 880 · 📦 14 · 📋 780 - 30% open · ⏱️ 31.10.2023): +- [GitHub](https://github.com/facebookresearch/mmf) (👨‍💻 120 · 🔀 880 · 📦 14 · 📋 780 - 30% open · ⏱️ 30.11.2023): ``` git clone https://github.com/facebookresearch/mmf ``` -- [PyPi](https://pypi.org/project/mmf) (📥 300 / month · 📦 1 · ⏱️ 12.06.2020): +- [PyPi](https://pypi.org/project/mmf) (📥 310 / month · 📦 1 · ⏱️ 12.06.2020): ``` pip install mmf ```
ffcv (🥉24 · ⭐ 2.7K) - FFCV: Fast Forward Computer Vision (and other ML workloads!). Apache-2 -- [GitHub](https://github.com/libffcv/ffcv) (👨‍💻 27 · 🔀 170 · 📦 34 · 📋 260 - 34% open · ⏱️ 24.08.2023): +- [GitHub](https://github.com/libffcv/ffcv) (👨‍💻 27 · 🔀 170 · 📦 34 · 📋 260 - 35% open · ⏱️ 24.08.2023): ``` git clone https://github.com/libffcv/ffcv ``` -- [PyPi](https://pypi.org/project/ffcv) (📥 1.2K / month · 📦 1 · ⏱️ 28.01.2022): +- [PyPi](https://pypi.org/project/ffcv) (📥 1.1K / month · 📦 1 · ⏱️ 28.01.2022): ``` pip install ffcv ```
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kubric (🥉24 · ⭐ 2K) - A data generation pipeline for creating semi-realistic synthetic multi-.. Apache-2 +
kubric (🥉24 · ⭐ 2.1K) - A data generation pipeline for creating semi-realistic synthetic.. Apache-2 -- [GitHub](https://github.com/google-research/kubric) (👨‍💻 25 · 🔀 190 · 📦 3 · 📋 190 - 32% open · ⏱️ 16.10.2023): +- [GitHub](https://github.com/google-research/kubric) (👨‍💻 25 · 🔀 190 · 📦 3 · 📋 190 - 33% open · ⏱️ 16.10.2023): ``` git clone https://github.com/google-research/kubric ``` -- [PyPi](https://pypi.org/project/kubric-nightly) (📥 4.1K / month · ⏱️ 30.11.2023): +- [PyPi](https://pypi.org/project/kubric-nightly) (📥 6.9K / month · ⏱️ 07.12.2023): ``` pip install kubric-nightly ```
pyvips (🥉24 · ⭐ 560) - python binding for libvips using cffi. MIT -- [GitHub](https://github.com/libvips/pyvips) (👨‍💻 16 · 🔀 48 · 📦 630 · 📋 380 - 40% open · ⏱️ 18.10.2023): +- [GitHub](https://github.com/libvips/pyvips) (👨‍💻 16 · 🔀 48 · 📦 630 · 📋 390 - 40% open · ⏱️ 18.10.2023): ``` git clone https://github.com/libvips/pyvips ``` -- [PyPi](https://pypi.org/project/pyvips) (📥 53K / month · 📦 46 · ⏱️ 12.06.2022): +- [PyPi](https://pypi.org/project/pyvips) (📥 53K / month · 📦 50 · ⏱️ 12.06.2022): ``` pip install pyvips ``` @@ -2839,7 +2802,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/tensorflow/graphics ``` -- [PyPi](https://pypi.org/project/tensorflow-graphics) (📥 5.3K / month · 📦 8 · ⏱️ 03.12.2021): +- [PyPi](https://pypi.org/project/tensorflow-graphics) (📥 5.4K / month · 📦 9 · ⏱️ 03.12.2021): ``` pip install tensorflow-graphics ``` @@ -2851,7 +2814,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/airctic/icevision ``` -- [PyPi](https://pypi.org/project/icevision) (📥 4.6K / month · 📦 6 · ⏱️ 10.02.2022): +- [PyPi](https://pypi.org/project/icevision) (📥 4.4K / month · 📦 6 · ⏱️ 10.02.2022): ``` pip install icevision ``` @@ -2871,7 +2834,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/facebookresearch/vissl ``` -- [PyPi](https://pypi.org/project/vissl) (📥 180 / month · 📦 1 · ⏱️ 02.11.2021): +- [PyPi](https://pypi.org/project/vissl) (📥 150 / month · 📦 1 · ⏱️ 02.11.2021): ``` pip install vissl ``` @@ -2883,7 +2846,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/facebookresearch/ClassyVision ``` -- [PyPi](https://pypi.org/project/classy_vision) (📥 630 / month · 📦 4 · ⏱️ 21.03.2023): +- [PyPi](https://pypi.org/project/classy_vision) (📥 580 / month · 📦 4 · ⏱️ 21.03.2023): ``` pip install classy_vision ``` @@ -2899,7 +2862,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/facebookresearch/SlowFast ``` -- [PyPi](https://pypi.org/project/pyslowfast) (📥 19 / month · ⏱️ 15.01.2020): +- [PyPi](https://pypi.org/project/pyslowfast) (📥 17 / month · ⏱️ 15.01.2020): ``` pip install pyslowfast ``` @@ -2911,31 +2874,31 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/ProvenanceLabs/image-match ``` -- [PyPi](https://pypi.org/project/image_match) (📥 500 / month · 📦 4 · ⏱️ 13.02.2017): +- [PyPi](https://pypi.org/project/image_match) (📥 540 / month · 📦 4 · ⏱️ 13.02.2017): ``` pip install image_match ```
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scenic (🥉19 · ⭐ 2.6K) - Scenic: A Jax Library for Computer Vision Research and Beyond. Apache-2 - -- [GitHub](https://github.com/google-research/scenic) (👨‍💻 74 · 🔀 350 · 📋 260 - 58% open · ⏱️ 15.11.2023): - - ``` - git clone https://github.com/google-research/scenic - ``` -
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pycls (🥉19 · ⭐ 2.1K) - Codebase for Image Classification Research, written in PyTorch. MIT +
pycls (🥉20 · ⭐ 2.1K) - Codebase for Image Classification Research, written in PyTorch. MIT - [GitHub](https://github.com/facebookresearch/pycls) (👨‍💻 19 · 🔀 230 · 📦 16 · 📋 81 - 30% open · ⏱️ 26.08.2023): ``` git clone https://github.com/facebookresearch/pycls ``` -- [PyPi](https://pypi.org/project/pycls) (📥 930 / month · ⏱️ 05.09.2020): +- [PyPi](https://pypi.org/project/pycls) (📥 1.1K / month · ⏱️ 05.09.2020): ``` pip install pycls ```
+
scenic (🥉18 · ⭐ 2.6K) - Scenic: A Jax Library for Computer Vision Research and Beyond. Apache-2 + +- [GitHub](https://github.com/google-research/scenic) (👨‍💻 74 · 🔀 350 · 📋 260 - 58% open · ⏱️ 15.11.2023): + + ``` + git clone https://github.com/google-research/scenic + ``` +
Caer (🥉18 · ⭐ 730 · 💤) - A lightweight Computer Vision library. Scale your models, not boilerplate. MIT - [GitHub](https://github.com/jasmcaus/caer) (👨‍💻 8 · 🔀 110 · 📥 28 · 📋 15 - 13% open · ⏱️ 01.04.2023): @@ -2956,9 +2919,9 @@ _Libraries for image & video processing, manipulation, and augmentation as well - Face Recognition (🥈33 · ⭐ 50K · 💀) - The worlds simplest facial recognition api for Python.. MIT - imutils (🥈31 · ⭐ 4.4K · 💀) - A series of convenience functions to make basic image processing.. MIT - PyTorch3D (🥈30 · ⭐ 7.9K) - PyTorch3D is FAIRs library of reusable components for.. ❗Unlicensed -- mtcnn (🥉28 · ⭐ 2.1K · 💀) - MTCNN face detection implementation for TensorFlow, as a PIP.. MIT - layout-parser (🥉27 · ⭐ 4.1K · 💀) - A Unified Toolkit for Deep Learning Based Document Image.. Apache-2 - chainercv (🥉27 · ⭐ 1.5K · 💀) - ChainerCV: a Library for Deep Learning in Computer Vision. MIT +- mtcnn (🥉26 · ⭐ 2.1K · 💀) - MTCNN face detection implementation for TensorFlow, as a PIP.. MIT - Pillow-SIMD (🥉26 · ⭐ 2K) - The friendly PIL fork. ❗️PIL - segmentation_models (🥉24 · ⭐ 4.5K · 💀) - Segmentation models with pretrained backbones. Keras.. MIT - Image Super-Resolution (🥉23 · ⭐ 4.4K · 💀) - Super-scale your images and run experiments with.. Apache-2 @@ -2980,12 +2943,12 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
networkx (🥇44 · ⭐ 14K) - Network Analysis in Python. BSD-3 -- [GitHub](https://github.com/networkx/networkx) (👨‍💻 690 · 🔀 3.1K · 📥 65 · 📦 200K · 📋 3.3K - 12% open · ⏱️ 30.11.2023): +- [GitHub](https://github.com/networkx/networkx) (👨‍💻 700 · 🔀 3.1K · 📥 65 · 📦 210K · 📋 3.3K - 11% open · ⏱️ 06.12.2023): ``` git clone https://github.com/networkx/networkx ``` -- [PyPi](https://pypi.org/project/networkx) (📥 34M / month · 📦 15K · ⏱️ 28.10.2023): +- [PyPi](https://pypi.org/project/networkx) (📥 35M / month · 📦 15K · ⏱️ 28.10.2023): ``` pip install networkx ``` @@ -2994,26 +2957,26 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas conda install -c conda-forge networkx ```
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dgl (🥇39 · ⭐ 12K) - Python package built to ease deep learning on graph, on top of existing DL.. Apache-2 +
dgl (🥇39 · ⭐ 13K) - Python package built to ease deep learning on graph, on top of existing DL.. Apache-2 -- [GitHub](https://github.com/dmlc/dgl) (👨‍💻 280 · 🔀 2.9K · 📦 160 · 📋 2.5K - 16% open · ⏱️ 30.11.2023): +- [GitHub](https://github.com/dmlc/dgl) (👨‍💻 280 · 🔀 2.9K · 📦 170 · 📋 2.5K - 16% open · ⏱️ 07.12.2023): ``` git clone https://github.com/dmlc/dgl ``` -- [PyPi](https://pypi.org/project/dgl) (📥 68K / month · 📦 76 · ⏱️ 30.08.2023): +- [PyPi](https://pypi.org/project/dgl) (📥 72K / month · 📦 83 · ⏱️ 30.08.2023): ``` pip install dgl ```
PyTorch Geometric (🥇38 · ⭐ 19K) - Graph Neural Network Library for PyTorch. MIT -- [GitHub](https://github.com/pyg-team/pytorch_geometric) (👨‍💻 470 · 🔀 3.4K · 📋 3.4K - 26% open · ⏱️ 30.11.2023): +- [GitHub](https://github.com/pyg-team/pytorch_geometric) (👨‍💻 470 · 🔀 3.4K · 📋 3.4K - 26% open · ⏱️ 07.12.2023): ``` git clone https://github.com/pyg-team/pytorch_geometric ``` -- [PyPi](https://pypi.org/project/torch-geometric) (📥 240K / month · 📦 130 · ⏱️ 12.10.2023): +- [PyPi](https://pypi.org/project/torch-geometric) (📥 250K / month · 📦 130 · ⏱️ 12.10.2023): ``` pip install torch-geometric ``` @@ -3024,24 +2987,24 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
pygraphistry (🥈30 · ⭐ 1.9K) - PyGraphistry is a Python library to quickly load, shape,.. BSD-3 -- [GitHub](https://github.com/graphistry/pygraphistry) (👨‍💻 39 · 🔀 200 · 📦 110 · 📋 300 - 50% open · ⏱️ 02.11.2023): +- [GitHub](https://github.com/graphistry/pygraphistry) (👨‍💻 39 · 🔀 200 · 📦 110 · 📋 300 - 50% open · ⏱️ 05.12.2023): ``` git clone https://github.com/graphistry/pygraphistry ``` -- [PyPi](https://pypi.org/project/graphistry) (📥 2.7K / month · 📦 6 · ⏱️ 02.11.2023): +- [PyPi](https://pypi.org/project/graphistry) (📥 2.6K / month · 📦 6 · ⏱️ 05.12.2023): ``` pip install graphistry ```
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ogb (🥈29 · ⭐ 1.8K) - Benchmark datasets, data loaders, and evaluators for graph machine learning. MIT +
ogb (🥈28 · ⭐ 1.8K) - Benchmark datasets, data loaders, and evaluators for graph machine learning. MIT -- [GitHub](https://github.com/snap-stanford/ogb) (👨‍💻 32 · 🔀 400 · 📦 1.2K · 📋 290 - 6% open · ⏱️ 10.06.2023): +- [GitHub](https://github.com/snap-stanford/ogb) (👨‍💻 32 · 🔀 400 · 📦 1.2K · 📋 290 - 6% open · ⏱️ 02.12.2023): ``` git clone https://github.com/snap-stanford/ogb ``` -- [PyPi](https://pypi.org/project/ogb) (📥 37K / month · 📦 22 · ⏱️ 02.11.2022): +- [PyPi](https://pypi.org/project/ogb) (📥 42K / month · 📦 22 · ⏱️ 02.11.2022): ``` pip install ogb ``` @@ -3050,26 +3013,26 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas conda install -c conda-forge ogb ```
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Spektral (🥈27 · ⭐ 2.3K) - Graph Neural Networks with Keras and Tensorflow 2. MIT +
Spektral (🥈26 · ⭐ 2.3K) - Graph Neural Networks with Keras and Tensorflow 2. MIT - [GitHub](https://github.com/danielegrattarola/spektral) (👨‍💻 27 · 🔀 340 · 📦 250 · 📋 260 - 24% open · ⏱️ 01.06.2023): ``` git clone https://github.com/danielegrattarola/spektral ``` -- [PyPi](https://pypi.org/project/spektral) (📥 6.3K / month · 📦 6 · ⏱️ 01.06.2023): +- [PyPi](https://pypi.org/project/spektral) (📥 6.7K / month · 📦 6 · ⏱️ 01.06.2023): ``` pip install spektral ```
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Paddle Graph Learning (🥈27 · ⭐ 1.5K) - Paddle Graph Learning (PGL) is an efficient and.. Apache-2 +
Paddle Graph Learning (🥈26 · ⭐ 1.5K) - Paddle Graph Learning (PGL) is an efficient and.. Apache-2 - [GitHub](https://github.com/PaddlePaddle/PGL) (👨‍💻 31 · 🔀 310 · 📦 46 · 📋 210 - 42% open · ⏱️ 26.09.2023): ``` git clone https://github.com/PaddlePaddle/PGL ``` -- [PyPi](https://pypi.org/project/pgl) (📥 680 / month · 📦 2 · ⏱️ 26.09.2023): +- [PyPi](https://pypi.org/project/pgl) (📥 850 / month · 📦 2 · ⏱️ 26.09.2023): ``` pip install pgl ``` @@ -3081,19 +3044,19 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas ``` git clone https://github.com/pykeen/pykeen ``` -- [PyPi](https://pypi.org/project/pykeen) (📥 4.2K / month · 📦 5 · ⏱️ 22.02.2023): +- [PyPi](https://pypi.org/project/pykeen) (📥 4.4K / month · 📦 5 · ⏱️ 22.02.2023): ``` pip install pykeen ```
pytorch_geometric_temporal (🥈25 · ⭐ 2.3K) - PyTorch Geometric Temporal: Spatiotemporal Signal.. MIT -- [GitHub](https://github.com/benedekrozemberczki/pytorch_geometric_temporal) (👨‍💻 28 · 🔀 320 · 📋 170 - 9% open · ⏱️ 01.07.2023): +- [GitHub](https://github.com/benedekrozemberczki/pytorch_geometric_temporal) (👨‍💻 28 · 🔀 320 · 📋 180 - 10% open · ⏱️ 01.07.2023): ``` git clone https://github.com/benedekrozemberczki/pytorch_geometric_temporal ``` -- [PyPi](https://pypi.org/project/torch-geometric-temporal) (📥 3K / month · 📦 4 · ⏱️ 04.09.2022): +- [PyPi](https://pypi.org/project/torch-geometric-temporal) (📥 3.4K / month · 📦 4 · ⏱️ 04.09.2022): ``` pip install torch-geometric-temporal ``` @@ -3105,47 +3068,47 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas ``` git clone https://github.com/Accenture/AmpliGraph ``` -- [PyPi](https://pypi.org/project/ampligraph) (📥 660 / month · ⏱️ 12.07.2023): +- [PyPi](https://pypi.org/project/ampligraph) (📥 730 / month · ⏱️ 12.07.2023): ``` pip install ampligraph ```
PyTorch-BigGraph (🥈24 · ⭐ 3.3K) - Generate embeddings from large-scale graph-structured.. BSD-3 -- [GitHub](https://github.com/facebookresearch/PyTorch-BigGraph) (👨‍💻 31 · 🔀 430 · 📥 160 · 📋 190 - 29% open · ⏱️ 06.11.2023): +- [GitHub](https://github.com/facebookresearch/PyTorch-BigGraph) (👨‍💻 31 · 🔀 440 · 📥 160 · 📋 200 - 32% open · ⏱️ 06.11.2023): ``` git clone https://github.com/facebookresearch/PyTorch-BigGraph ``` -- [PyPi](https://pypi.org/project/torchbiggraph) (📥 310K / month · 📦 3 · ⏱️ 01.05.2019): +- [PyPi](https://pypi.org/project/torchbiggraph) (📥 290K / month · 📦 3 · ⏱️ 14.10.2019): ``` pip install torchbiggraph ```
torch-cluster (🥈24 · ⭐ 720) - PyTorch Extension Library of Optimized Graph Cluster.. MIT -- [GitHub](https://github.com/rusty1s/pytorch_cluster) (👨‍💻 32 · 🔀 130 · 📋 150 - 17% open · ⏱️ 11.10.2023): +- [GitHub](https://github.com/rusty1s/pytorch_cluster) (👨‍💻 32 · 🔀 130 · 📋 150 - 18% open · ⏱️ 11.10.2023): ``` git clone https://github.com/rusty1s/pytorch_cluster ``` -- [PyPi](https://pypi.org/project/torch-cluster) (📥 14K / month · 📦 44 · ⏱️ 12.10.2023): +- [PyPi](https://pypi.org/project/torch-cluster) (📥 15K / month · 📦 45 · ⏱️ 12.10.2023): ``` pip install torch-cluster ``` -- [Conda](https://anaconda.org/conda-forge/pytorch_cluster) (📥 82K · ⏱️ 22.11.2023): +- [Conda](https://anaconda.org/conda-forge/pytorch_cluster) (📥 83K · ⏱️ 22.11.2023): ``` conda install -c conda-forge pytorch_cluster ```
Node2Vec (🥉23 · ⭐ 1.1K) - Implementation of the node2vec algorithm. MIT -- [GitHub](https://github.com/eliorc/node2vec) (👨‍💻 12 · 🔀 230 · 📦 510 · 📋 90 - 3% open · ⏱️ 29.08.2023): +- [GitHub](https://github.com/eliorc/node2vec) (👨‍💻 12 · 🔀 230 · 📦 520 · 📋 90 - 3% open · ⏱️ 29.08.2023): ``` git clone https://github.com/eliorc/node2vec ``` -- [PyPi](https://pypi.org/project/node2vec) (📥 47K / month · 📦 18 · ⏱️ 01.08.2022): +- [PyPi](https://pypi.org/project/node2vec) (📥 58K / month · 📦 20 · ⏱️ 01.08.2022): ``` pip install node2vec ``` @@ -3161,31 +3124,19 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas ``` git clone https://github.com/deepmind/graph_nets ``` -- [PyPi](https://pypi.org/project/graph-nets) (📥 2K / month · 📦 8 · ⏱️ 29.01.2020): +- [PyPi](https://pypi.org/project/graph-nets) (📥 2.2K / month · 📦 8 · ⏱️ 29.01.2020): ``` pip install graph-nets ```
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graph4nlp (🥉21 · ⭐ 1.6K · 💤) - Graph4nlp is the library for the easy use of Graph.. Apache-2 - -- [GitHub](https://github.com/graph4ai/graph4nlp) (👨‍💻 29 · 🔀 200 · 📋 170 - 6% open · ⏱️ 13.11.2022): - - ``` - git clone https://github.com/graph4ai/graph4nlp - ``` -- [PyPi](https://pypi.org/project/graph4nlp) (📥 100 / month · ⏱️ 20.01.2022): - ``` - pip install graph4nlp - ``` -
deepsnap (🥉21 · ⭐ 510) - Python library assists deep learning on graphs. MIT -- [GitHub](https://github.com/snap-stanford/deepsnap) (👨‍💻 18 · 🔀 53 · 📥 10 · 📦 71 · 📋 48 - 47% open · ⏱️ 11.11.2023): +- [GitHub](https://github.com/snap-stanford/deepsnap) (👨‍💻 18 · 🔀 54 · 📥 10 · 📦 73 · 📋 48 - 47% open · ⏱️ 11.11.2023): ``` git clone https://github.com/snap-stanford/deepsnap ``` -- [PyPi](https://pypi.org/project/deepsnap) (📥 520 / month · 📦 1 · ⏱️ 05.09.2021): +- [PyPi](https://pypi.org/project/deepsnap) (📥 470 / month · 📦 1 · ⏱️ 05.09.2021): ``` pip install deepsnap ``` @@ -3197,43 +3148,23 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas ``` git clone https://github.com/snap-stanford/GraphGym ``` -- [PyPi](https://pypi.org/project/graphgym) (📥 100 / month · ⏱️ 24.03.2022): +- [PyPi](https://pypi.org/project/graphgym) (📥 93 / month · ⏱️ 24.03.2022): ``` pip install graphgym ```
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Sematch (🥉19 · ⭐ 410) - semantic similarity framework for knowledge graph. Apache-2 +
Sematch (🥉19 · ⭐ 420) - semantic similarity framework for knowledge graph. Apache-2 - [GitHub](https://github.com/gsi-upm/sematch) (👨‍💻 10 · 🔀 110 · 📦 46 · 📋 34 - 44% open · ⏱️ 07.11.2023): ``` git clone https://github.com/gsi-upm/sematch ``` -- [PyPi](https://pypi.org/project/sematch) (📥 320 / month · 📦 3 · ⏱️ 17.04.2017): +- [PyPi](https://pypi.org/project/sematch) (📥 310 / month · 📦 3 · ⏱️ 17.04.2017): ``` pip install sematch ```
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OpenKE (🥉16 · ⭐ 3.6K · 💤) - An Open-Source Package for Knowledge Embedding (KE). MIT - -- [GitHub](https://github.com/thunlp/OpenKE) (👨‍💻 11 · 🔀 950 · 📋 370 - 5% open · ⏱️ 03.11.2022): - - ``` - git clone https://github.com/thunlp/OpenKE - ``` -
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AutoGL (🥉16 · ⭐ 1K) - An autoML framework & toolkit for machine learning on graphs. Apache-2 - -- [GitHub](https://github.com/THUMNLab/AutoGL) (👨‍💻 15 · 🔀 110 · 📋 33 - 27% open · ⏱️ 21.10.2023): - - ``` - git clone https://github.com/THUMNLab/AutoGL - ``` -- [PyPi](https://pypi.org/project/auto-graph-learning) (📥 3 / month · ⏱️ 23.12.2020): - ``` - pip install auto-graph-learning - ``` -
kglib (🥉16 · ⭐ 550) - TypeDB-ML is the Machine Learning integrations library for TypeDB. Apache-2 - [GitHub](https://github.com/vaticle/typedb-ml) (👨‍💻 11 · 🔀 98 · 📥 220 · 📋 63 - 19% open · ⏱️ 18.11.2023): @@ -3241,34 +3172,41 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas ``` git clone https://github.com/vaticle/kglib ``` -- [PyPi](https://pypi.org/project/grakn-kglib) (📥 91 / month · ⏱️ 19.08.2020): +- [PyPi](https://pypi.org/project/grakn-kglib) (📥 100 / month · ⏱️ 19.08.2020): ``` pip install grakn-kglib ```
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OpenNE (🥉14 · ⭐ 1.7K · 💤) - An Open-Source Package for Network Embedding (NE). MIT +
AutoGL (🥉15 · ⭐ 1K) - An autoML framework & toolkit for machine learning on graphs. Apache-2 -- [GitHub](https://github.com/thunlp/OpenNE) (👨‍💻 11 · 🔀 480 · 📋 100 - 4% open · ⏱️ 02.11.2022): +- [GitHub](https://github.com/THUMNLab/AutoGL) (👨‍💻 15 · 🔀 110 · 📋 33 - 27% open · ⏱️ 21.10.2023): ``` - git clone https://github.com/thunlp/OpenNE + git clone https://github.com/THUMNLab/AutoGL + ``` +- [PyPi](https://pypi.org/project/auto-graph-learning) (📥 1 / month · ⏱️ 23.12.2020): + ``` + pip install auto-graph-learning ```
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Show 14 hidden projects... +
Show 17 hidden projects... -- igraph (🥇32 · ⭐ 1.2K) - Python interface for igraph. ❗️GPL-2.0 +- igraph (🥇34 · ⭐ 1.2K · 📈) - Python interface for igraph. ❗️GPL-2.0 - pygal (🥈30 · ⭐ 2.6K) - PYthon svg GrAph plotting Library. ❗️LGPL-3.0 -- StellarGraph (🥈28 · ⭐ 2.8K · 💀) - StellarGraph - Machine Learning on Graphs. Apache-2 +- StellarGraph (🥈27 · ⭐ 2.8K · 💀) - StellarGraph - Machine Learning on Graphs. Apache-2 - Karate Club (🥈24 · ⭐ 2K) - Karate Club: An API Oriented Open-source Python Framework for.. ❗️GPL-3.0 - DIG (🥉22 · ⭐ 1.7K) - A library for graph deep learning research. ❗️GPL-3.0 +- graph4nlp (🥉21 · ⭐ 1.6K · 💀) - Graph4nlp is the library for the easy use of Graph.. Apache-2 +- jraph (🥉21 · ⭐ 1.3K · 💀) - A Graph Neural Network Library in Jax. Apache-2 - DeepWalk (🥉20 · ⭐ 2.6K · 💀) - DeepWalk - Deep Learning for Graphs. ❗️GPL-3.0 -- jraph (🥉20 · ⭐ 1.2K · 💀) - A Graph Neural Network Library in Jax. Apache-2 - pyRDF2Vec (🥉20 · ⭐ 230) - Python Implementation and Extension of RDF2Vec. MIT - DeepGraph (🥉17 · ⭐ 280) - Analyze Data with Pandas-based Networks. Documentation:. BSD-3 +- OpenKE (🥉16 · ⭐ 3.6K · 💀) - An Open-Source Package for Knowledge Embedding (KE). MIT - GraphEmbedding (🥉16 · ⭐ 3.5K · 💀) - Implementation and experiments of graph embedding.. MIT - Euler (🥉15 · ⭐ 2.9K · 💀) - A distributed graph deep learning framework. Apache-2 - ptgnn (🥉15 · ⭐ 370 · 💀) - A PyTorch Graph Neural Network Library. MIT - GraphSAGE (🥉14 · ⭐ 3.2K · 💀) - Representation learning on large graphs using stochastic.. MIT +- OpenNE (🥉14 · ⭐ 1.7K · 💀) - An Open-Source Package for Network Embedding (NE). MIT - GraphVite (🥉13 · ⭐ 1.2K · 💀) - GraphVite: A General and High-performance Graph Embedding.. Apache-2

@@ -3279,56 +3217,72 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas _Libraries for audio analysis, manipulation, transformation, and extraction, as well as speech recognition and music generation tasks._ +
Coqui TTS (🥇38 · ⭐ 24K · 📈) - - a deep learning toolkit for Text-to-Speech, battle-.. MPL-2.0 + +- [GitHub](https://github.com/coqui-ai/TTS) (👨‍💻 160 · 🔀 2.6K · 📥 1.7M · 📦 660 · 📋 870 - 6% open · ⏱️ 07.12.2023): + + ``` + git clone https://github.com/coqui-ai/TTS + ``` +- [PyPi](https://pypi.org/project/tts) (📥 100K / month · 📦 19 · ⏱️ 01.12.2023): + ``` + pip install tts + ``` +- [Conda](https://anaconda.org/conda-forge/tts) (📥 10K · ⏱️ 16.06.2023): + ``` + conda install -c conda-forge tts + ``` +
espnet (🥇37 · ⭐ 7.4K) - End-to-End Speech Processing Toolkit. Apache-2 -- [GitHub](https://github.com/espnet/espnet) (👨‍💻 400 · 🔀 2K · 📥 79 · 📦 270 · 📋 2.3K - 10% open · ⏱️ 29.11.2023): +- [GitHub](https://github.com/espnet/espnet) (👨‍💻 400 · 🔀 2K · 📥 79 · 📦 270 · 📋 2.3K - 10% open · ⏱️ 05.12.2023): ``` git clone https://github.com/espnet/espnet ``` -- [PyPi](https://pypi.org/project/espnet) (📥 20K / month · 📦 5 · ⏱️ 25.10.2023): +- [PyPi](https://pypi.org/project/espnet) (📥 19K / month · 📦 5 · ⏱️ 25.10.2023): ``` pip install espnet ```
speechbrain (🥇37 · ⭐ 6.9K) - A PyTorch-based Speech Toolkit. Apache-2 -- [GitHub](https://github.com/speechbrain/speechbrain) (👨‍💻 220 · 🔀 1.1K · 📦 1.2K · 📋 1K - 16% open · ⏱️ 29.11.2023): +- [GitHub](https://github.com/speechbrain/speechbrain) (👨‍💻 220 · 🔀 1.2K · 📦 1.3K · 📋 1K - 16% open · ⏱️ 30.11.2023): ``` git clone https://github.com/speechbrain/speechbrain ``` -- [PyPi](https://pypi.org/project/speechbrain) (📥 160K / month · 📦 24 · ⏱️ 22.11.2023): +- [PyPi](https://pypi.org/project/speechbrain) (📥 170K / month · 📦 24 · ⏱️ 22.11.2023): ``` pip install speechbrain ```
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Coqui TTS (🥇36 · ⭐ 23K · 📉) - - a deep learning toolkit for Text-to-Speech, battle-.. MPL-2.0 +
torchaudio (🥈35 · ⭐ 2.3K) - Data manipulation and transformation for audio signal.. BSD-2 -- [GitHub](https://github.com/coqui-ai/TTS) (👨‍💻 160 · 🔀 2.5K · 📥 1.7M · 📋 870 - 6% open · ⏱️ 30.11.2023): +- [GitHub](https://github.com/pytorch/audio) (👨‍💻 220 · 🔀 610 · 📋 890 - 20% open · ⏱️ 01.12.2023): ``` - git clone https://github.com/coqui-ai/TTS - ``` -- [PyPi](https://pypi.org/project/tts) (📥 99K / month · 📦 19 · ⏱️ 24.11.2023): - ``` - pip install tts + git clone https://github.com/pytorch/audio ``` -- [Conda](https://anaconda.org/conda-forge/tts) (📥 10K · ⏱️ 16.06.2023): +- [PyPi](https://pypi.org/project/torchaudio) (📥 1.9M / month · 📦 500 · ⏱️ 15.11.2023): ``` - conda install -c conda-forge tts + pip install torchaudio ```
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torchaudio (🥈35 · ⭐ 2.3K) - Data manipulation and transformation for audio signal.. BSD-2 +
SpeechRecognition (🥈34 · ⭐ 7.7K · 📈) - Speech recognition module for Python, supporting.. BSD-3 -- [GitHub](https://github.com/pytorch/audio) (👨‍💻 220 · 🔀 610 · 📋 890 - 20% open · ⏱️ 10.11.2023): +- [GitHub](https://github.com/Uberi/speech_recognition) (👨‍💻 49 · 🔀 2.3K · 📦 21 · 📋 620 - 49% open · ⏱️ 06.12.2023): ``` - git clone https://github.com/pytorch/audio + git clone https://github.com/Uberi/speech_recognition ``` -- [PyPi](https://pypi.org/project/torchaudio) (📥 1.8M / month · 📦 480 · ⏱️ 15.11.2023): +- [PyPi](https://pypi.org/project/SpeechRecognition) (📥 620K / month · 📦 820 · ⏱️ 06.12.2023): ``` - pip install torchaudio + pip install SpeechRecognition + ``` +- [Conda](https://anaconda.org/conda-forge/speechrecognition) (📥 180K · ⏱️ 06.12.2023): + ``` + conda install -c conda-forge speechrecognition ```
librosa (🥈34 · ⭐ 6.3K) - Python library for audio and music analysis. ISC @@ -3347,14 +3301,26 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as conda install -c conda-forge librosa ```
+
Magenta (🥈33 · ⭐ 19K) - Magenta: Music and Art Generation with Machine Intelligence. Apache-2 + +- [GitHub](https://github.com/magenta/magenta) (👨‍💻 160 · 🔀 3.7K · 📦 480 · 📋 960 - 38% open · ⏱️ 11.07.2023): + + ``` + git clone https://github.com/magenta/magenta + ``` +- [PyPi](https://pypi.org/project/magenta) (📥 3.5K / month · 📦 38 · ⏱️ 01.08.2022): + ``` + pip install magenta + ``` +
Pydub (🥈33 · ⭐ 7.9K · 💤) - Manipulate audio with a simple and easy high level interface. MIT -- [GitHub](https://github.com/jiaaro/pydub) (👨‍💻 95 · 🔀 960 · 📦 43K · 📋 590 - 54% open · ⏱️ 08.12.2022): +- [GitHub](https://github.com/jiaaro/pydub) (👨‍💻 95 · 🔀 960 · 📦 44K · 📋 590 - 54% open · ⏱️ 08.12.2022): ``` git clone https://github.com/jiaaro/pydub ``` -- [PyPi](https://pypi.org/project/pydub) (📥 2.9M / month · 📦 1.2K · ⏱️ 10.03.2021): +- [PyPi](https://pypi.org/project/pydub) (📥 3M / month · 📦 1.2K · ⏱️ 10.03.2021): ``` pip install pydub ``` @@ -3379,32 +3345,20 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as conda install -c conda-forge spleeter ```
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Magenta (🥈32 · ⭐ 19K) - Magenta: Music and Art Generation with Machine Intelligence. Apache-2 - -- [GitHub](https://github.com/magenta/magenta) (👨‍💻 160 · 🔀 3.7K · 📦 480 · 📋 960 - 38% open · ⏱️ 11.07.2023): - - ``` - git clone https://github.com/magenta/magenta - ``` -- [PyPi](https://pypi.org/project/magenta) (📥 3.5K / month · 📦 38 · ⏱️ 31.07.2018): - ``` - pip install magenta - ``` -
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SpeechRecognition (🥈32 · ⭐ 7.7K · 💤) - Speech recognition module for Python, supporting.. BSD-3 +
audioread (🥈31 · ⭐ 460) - cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio decoding.. MIT -- [GitHub](https://github.com/Uberi/speech_recognition) (👨‍💻 49 · 🔀 2.3K · 📦 21 · 📋 610 - 49% open · ⏱️ 13.03.2023): +- [GitHub](https://github.com/beetbox/audioread) (👨‍💻 25 · 🔀 110 · 📦 17K · 📋 90 - 38% open · ⏱️ 02.12.2023): ``` - git clone https://github.com/Uberi/speech_recognition + git clone https://github.com/beetbox/audioread ``` -- [PyPi](https://pypi.org/project/SpeechRecognition) (📥 600K / month · 📦 820 · ⏱️ 04.12.2022): +- [PyPi](https://pypi.org/project/audioread) (📥 1.7M / month · 📦 360 · ⏱️ 27.09.2023): ``` - pip install SpeechRecognition + pip install audioread ``` -- [Conda](https://anaconda.org/conda-forge/speechrecognition) (📥 170K · ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/audioread) (📥 730K · ⏱️ 30.09.2023): ``` - conda install -c conda-forge speechrecognition + conda install -c conda-forge audioread ```
audiomentations (🥈30 · ⭐ 1.6K) - A Python library for audio data augmentation. Inspired by.. MIT @@ -3419,61 +3373,45 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as pip install audiomentations ```
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audioread (🥈30 · ⭐ 460) - cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio decoding.. MIT - -- [GitHub](https://github.com/beetbox/audioread) (👨‍💻 25 · 🔀 110 · 📦 17K · 📋 89 - 39% open · ⏱️ 17.08.2023): - - ``` - git clone https://github.com/beetbox/audioread - ``` -- [PyPi](https://pypi.org/project/audioread) (📥 1.6M / month · 📦 360 · ⏱️ 27.09.2023): - ``` - pip install audioread - ``` -- [Conda](https://anaconda.org/conda-forge/audioread) (📥 730K · ⏱️ 30.09.2023): - ``` - conda install -c conda-forge audioread - ``` -
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pyAudioAnalysis (🥉29 · ⭐ 5.5K) - Python Audio Analysis Library: Feature Extraction,.. Apache-2 +
pyAudioAnalysis (🥈29 · ⭐ 5.5K) - Python Audio Analysis Library: Feature Extraction,.. Apache-2 -- [GitHub](https://github.com/tyiannak/pyAudioAnalysis) (👨‍💻 28 · 🔀 1.2K · 📦 400 · 📋 310 - 61% open · ⏱️ 22.10.2023): +- [GitHub](https://github.com/tyiannak/pyAudioAnalysis) (👨‍💻 28 · 🔀 1.2K · 📦 410 · 📋 310 - 61% open · ⏱️ 22.10.2023): ``` git clone https://github.com/tyiannak/pyAudioAnalysis ``` -- [PyPi](https://pypi.org/project/pyAudioAnalysis) (📥 9.6K / month · 📦 19 · ⏱️ 07.02.2022): +- [PyPi](https://pypi.org/project/pyAudioAnalysis) (📥 9.7K / month · 📦 19 · ⏱️ 07.02.2022): ``` pip install pyAudioAnalysis ```
Porcupine (🥉28 · ⭐ 3.3K) - On-device wake word detection powered by deep learning. Apache-2 -- [GitHub](https://github.com/Picovoice/porcupine) (👨‍💻 36 · 🔀 460 · 📦 24 · ⏱️ 17.11.2023): +- [GitHub](https://github.com/Picovoice/porcupine) (👨‍💻 36 · 🔀 460 · 📦 24 · 📋 500 - 0% open · ⏱️ 17.11.2023): ``` git clone https://github.com/Picovoice/Porcupine ``` -- [PyPi](https://pypi.org/project/pvporcupine) (📥 5.5K / month · 📦 13 · ⏱️ 16.11.2023): +- [PyPi](https://pypi.org/project/pvporcupine) (📥 6K / month · 📦 13 · ⏱️ 16.11.2023): ``` pip install pvporcupine ```
Madmom (🥉27 · ⭐ 1.2K) - Python audio and music signal processing library. BSD-3 -- [GitHub](https://github.com/CPJKU/madmom) (👨‍💻 20 · 🔀 180 · 📦 380 · 📋 270 - 21% open · ⏱️ 10.09.2023): +- [GitHub](https://github.com/CPJKU/madmom) (👨‍💻 20 · 🔀 190 · 📦 380 · 📋 270 - 21% open · ⏱️ 10.09.2023): ``` git clone https://github.com/CPJKU/madmom ``` -- [PyPi](https://pypi.org/project/madmom) (📥 3.4K / month · 📦 33 · ⏱️ 14.11.2018): +- [PyPi](https://pypi.org/project/madmom) (📥 3.1K / month · 📦 33 · ⏱️ 14.11.2018): ``` pip install madmom ```
tinytag (🥉25 · ⭐ 630) - Read audio and music meta data and duration of MP3, OGG, OPUS, MP4, M4A,.. MIT -- [GitHub](https://github.com/devsnd/tinytag) (👨‍💻 26 · 🔀 99 · 📋 110 - 12% open · ⏱️ 26.10.2023): +- [GitHub](https://github.com/devsnd/tinytag) (👨‍💻 26 · 🔀 100 · 📋 110 - 13% open · ⏱️ 26.10.2023): ``` git clone https://github.com/devsnd/tinytag @@ -3483,14 +3421,30 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as pip install tinytag ```
+
python-soundfile (🥉25 · ⭐ 610) - SoundFile is an audio library based on libsndfile, CFFI, and.. BSD-3 + +- [GitHub](https://github.com/bastibe/python-soundfile) (👨‍💻 31 · 🔀 93 · 📥 17K · 📋 230 - 41% open · ⏱️ 14.10.2023): + + ``` + git clone https://github.com/bastibe/python-soundfile + ``` +- [PyPi](https://pypi.org/project/soundfile) (📥 1.5M / month · 📦 270 · ⏱️ 15.02.2023): + ``` + pip install soundfile + ``` +- [Conda](https://anaconda.org/anaconda/pysoundfile): + ``` + conda install -c anaconda pysoundfile + ``` +
DDSP (🥉24 · ⭐ 2.7K) - DDSP: Differentiable Digital Signal Processing. Apache-2 -- [GitHub](https://github.com/magenta/ddsp) (👨‍💻 32 · 🔀 310 · 📦 47 · 📋 160 - 25% open · ⏱️ 30.06.2023): +- [GitHub](https://github.com/magenta/ddsp) (👨‍💻 32 · 🔀 310 · 📦 47 · 📋 160 - 24% open · ⏱️ 30.06.2023): ``` git clone https://github.com/magenta/ddsp ``` -- [PyPi](https://pypi.org/project/ddsp) (📥 2.1K / month · 📦 1 · ⏱️ 25.05.2022): +- [PyPi](https://pypi.org/project/ddsp) (📥 2.2K / month · 📦 1 · ⏱️ 25.05.2022): ``` pip install ddsp ``` @@ -3499,30 +3453,30 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as conda install -c conda-forge ddsp ```
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python-soundfile (🥉24 · ⭐ 610) - SoundFile is an audio library based on libsndfile, CFFI, and.. BSD-3 +
DeepSpeech (🥉22 · ⭐ 23K · 📉) - DeepSpeech is an open source embedded (offline, on-.. MPL-2.0 -- [GitHub](https://github.com/bastibe/python-soundfile) (👨‍💻 31 · 🔀 93 · 📥 17K · 📋 230 - 41% open · ⏱️ 14.10.2023): +- [GitHub](https://github.com/mozilla/DeepSpeech) (👨‍💻 140 · 🔀 3.8K): ``` - git clone https://github.com/bastibe/python-soundfile + git clone https://github.com/mozilla/DeepSpeech ``` -- [PyPi](https://pypi.org/project/soundfile) (📥 1.5M / month · 📦 170 · ⏱️ 15.02.2023): +- [PyPi](https://pypi.org/project/deepspeech) (📥 3.3K / month · 📦 43 · ⏱️ 19.12.2020): ``` - pip install soundfile + pip install deepspeech ``` -- [Conda](https://anaconda.org/anaconda/pysoundfile): +- [Conda](https://anaconda.org/conda-forge/deepspeech) (📥 2.4K · ⏱️ 16.06.2023): ``` - conda install -c anaconda pysoundfile + conda install -c conda-forge deepspeech ```
-
nnAudio (🥉20 · ⭐ 910) - Audio processing by using pytorch 1D convolution network. MIT +
nnAudio (🥉20 · ⭐ 920) - Audio processing by using pytorch 1D convolution network. MIT - [GitHub](https://github.com/KinWaiCheuk/nnAudio) (👨‍💻 15 · 🔀 87 · 📦 140 · 📋 60 - 30% open · ⏱️ 04.09.2023): ``` git clone https://github.com/KinWaiCheuk/nnAudio ``` -- [PyPi](https://pypi.org/project/nnAudio) (📥 3.6K / month · 📦 3 · ⏱️ 24.12.2021): +- [PyPi](https://pypi.org/project/nnAudio) (📥 3.5K / month · 📦 3 · ⏱️ 24.12.2021): ``` pip install nnAudio ``` @@ -3535,11 +3489,10 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as git clone https://github.com/facebookresearch/textlesslib ```
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Show 10 hidden projects... +
Show 9 hidden projects... -- DeepSpeech (🥈34 · ⭐ 23K · 💀) - DeepSpeech is an open source embedded (offline, on-.. MPL-2.0 -- aubio (🥉28 · ⭐ 3.1K · 💀) - a library for audio and music analysis. ❗️GPL-3.0 -- TTS (🥉27 · ⭐ 8.2K · 💀) - Deep learning for Text to Speech (Discussion forum:.. MPL-2.0 +- TTS (🥉27 · ⭐ 8.3K · 💀) - Deep learning for Text to Speech (Discussion forum:.. MPL-2.0 +- aubio (🥉27 · ⭐ 3.1K · 💀) - a library for audio and music analysis. ❗️GPL-3.0 - Essentia (🥉27 · ⭐ 2.6K) - C++ library for audio and music analysis, description and.. ❗️AGPL-3.0 - python_speech_features (🥉25 · ⭐ 2.3K · 💀) - This library provides common speech features for ASR.. MIT - kapre (🥉23 · ⭐ 900 · 💀) - kapre: Keras Audio Preprocessors. MIT @@ -3558,12 +3511,12 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
pydeck (🥇42 · ⭐ 11K) - WebGL2 powered visualization framework. MIT -- [GitHub](https://github.com/visgl/deck.gl) (👨‍💻 240 · 🔀 2K · 📦 6.8K · 📋 2.8K - 9% open · ⏱️ 29.11.2023): +- [GitHub](https://github.com/visgl/deck.gl) (👨‍💻 240 · 🔀 2.1K · 📦 6.8K · 📋 2.8K - 9% open · ⏱️ 01.12.2023): ``` git clone https://github.com/visgl/deck.gl ``` -- [PyPi](https://pypi.org/project/pydeck) (📥 1.8M / month · 📦 48 · ⏱️ 15.04.2023): +- [PyPi](https://pypi.org/project/pydeck) (📥 1.9M / month · 📦 52 · ⏱️ 15.04.2023): ``` pip install pydeck ``` @@ -3571,51 +3524,51 @@ _Libraries to load, process, analyze, and write geographic data as well as libra ``` conda install -c conda-forge pydeck ``` -- [npm](https://www.npmjs.com/package/deck.gl) (📥 420K / month · 📦 470 · ⏱️ 21.11.2023): +- [npm](https://www.npmjs.com/package/deck.gl) (📥 440K / month · 📦 480 · ⏱️ 05.12.2023): ``` npm install deck.gl ```
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GeoPandas (🥇40 · ⭐ 3.9K) - Python tools for geographic data. BSD-3 +
folium (🥇39 · ⭐ 6.5K) - Python Data. Leaflet.js Maps. MIT -- [GitHub](https://github.com/geopandas/geopandas) (👨‍💻 210 · 🔀 900 · 📥 2.2K · 📦 28K · 📋 1.6K - 27% open · ⏱️ 20.11.2023): +- [GitHub](https://github.com/python-visualization/folium) (👨‍💻 160 · 🔀 2.2K · 📦 32K · 📋 1K - 6% open · ⏱️ 07.12.2023): ``` - git clone https://github.com/geopandas/geopandas + git clone https://github.com/python-visualization/folium ``` -- [PyPi](https://pypi.org/project/geopandas) (📥 6.4M / month · 📦 1.8K · ⏱️ 11.11.2023): +- [PyPi](https://pypi.org/project/folium) (📥 850K / month · 📦 810 · ⏱️ 04.12.2023): ``` - pip install geopandas + pip install folium ``` -- [Conda](https://anaconda.org/conda-forge/geopandas) (📥 3.3M · ⏱️ 11.11.2023): +- [Conda](https://anaconda.org/conda-forge/folium) (📥 2.5M · ⏱️ 04.12.2023): ``` - conda install -c conda-forge geopandas + conda install -c conda-forge folium ```
-
folium (🥇39 · ⭐ 6.5K) - Python Data. Leaflet.js Maps. MIT +
GeoPandas (🥇39 · ⭐ 4K) - Python tools for geographic data. BSD-3 -- [GitHub](https://github.com/python-visualization/folium) (👨‍💻 160 · 🔀 2.2K · 📦 31K · 📋 1K - 6% open · ⏱️ 27.11.2023): +- [GitHub](https://github.com/geopandas/geopandas) (👨‍💻 210 · 🔀 900 · 📥 2.3K · 📦 29K · 📋 1.6K - 28% open · ⏱️ 05.12.2023): ``` - git clone https://github.com/python-visualization/folium + git clone https://github.com/geopandas/geopandas ``` -- [PyPi](https://pypi.org/project/folium) (📥 850K / month · 📦 810 · ⏱️ 06.11.2023): +- [PyPi](https://pypi.org/project/geopandas) (📥 6.3M / month · 📦 1.8K · ⏱️ 11.11.2023): ``` - pip install folium + pip install geopandas ``` -- [Conda](https://anaconda.org/conda-forge/folium) (📥 2.5M · ⏱️ 06.11.2023): +- [Conda](https://anaconda.org/conda-forge/geopandas) (📥 3.3M · ⏱️ 11.11.2023): ``` - conda install -c conda-forge folium + conda install -c conda-forge geopandas ```
Shapely (🥈38 · ⭐ 3.5K) - Manipulation and analysis of geometric objects. BSD-3 -- [GitHub](https://github.com/shapely/shapely) (👨‍💻 150 · 🔀 540 · 📥 2.8K · 📦 57K · 📋 1.1K - 20% open · ⏱️ 17.11.2023): +- [GitHub](https://github.com/shapely/shapely) (👨‍💻 150 · 🔀 540 · 📥 2.8K · 📦 57K · 📋 1.1K - 20% open · ⏱️ 04.12.2023): ``` git clone https://github.com/shapely/shapely ``` -- [PyPi](https://pypi.org/project/shapely) (📥 16M / month · 📦 1.1K · ⏱️ 12.10.2023): +- [PyPi](https://pypi.org/project/shapely) (📥 16M / month · 📦 1.2K · ⏱️ 12.10.2023): ``` pip install shapely ``` @@ -3624,9 +3577,9 @@ _Libraries to load, process, analyze, and write geographic data as well as libra conda install -c conda-forge shapely ```
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Rasterio (🥈37 · ⭐ 2K) - Rasterio reads and writes geospatial raster datasets. BSD-3 +
Rasterio (🥈37 · ⭐ 2.1K) - Rasterio reads and writes geospatial raster datasets. BSD-3 -- [GitHub](https://github.com/rasterio/rasterio) (👨‍💻 150 · 🔀 520 · 📥 850 · 📦 9.5K · 📋 1.8K - 9% open · ⏱️ 28.11.2023): +- [GitHub](https://github.com/rasterio/rasterio) (👨‍💻 150 · 🔀 520 · 📥 850 · 📦 9.7K · 📋 1.8K - 9% open · ⏱️ 28.11.2023): ``` git clone https://github.com/rasterio/rasterio @@ -3642,12 +3595,12 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
pyproj (🥈36 · ⭐ 940) - Python interface to PROJ (cartographic projections and coordinate.. MIT -- [GitHub](https://github.com/pyproj4/pyproj) (👨‍💻 65 · 🔀 210 · 📦 25K · 📋 590 - 4% open · ⏱️ 08.11.2023): +- [GitHub](https://github.com/pyproj4/pyproj) (👨‍💻 65 · 🔀 210 · 📦 26K · 📋 590 - 4% open · ⏱️ 08.11.2023): ``` git clone https://github.com/pyproj4/pyproj ``` -- [PyPi](https://pypi.org/project/pyproj) (📥 8.4M / month · 📦 2K · ⏱️ 21.09.2023): +- [PyPi](https://pypi.org/project/pyproj) (📥 8.3M / month · 📦 2K · ⏱️ 21.09.2023): ``` pip install pyproj ``` @@ -3658,12 +3611,12 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
geopy (🥈35 · ⭐ 4.1K) - Geocoding library for Python. MIT -- [GitHub](https://github.com/geopy/geopy) (👨‍💻 130 · 🔀 660 · 📥 6 · 📋 280 - 11% open · ⏱️ 23.11.2023): +- [GitHub](https://github.com/geopy/geopy) (👨‍💻 130 · 🔀 660 · 📥 9 · 📋 280 - 11% open · ⏱️ 23.11.2023): ``` git clone https://github.com/geopy/geopy ``` -- [PyPi](https://pypi.org/project/geopy) (📥 4.6M / month · 📦 4K · ⏱️ 23.11.2023): +- [PyPi](https://pypi.org/project/geopy) (📥 4.8M / month · 📦 4K · ⏱️ 23.11.2023): ``` pip install geopy ``` @@ -3674,12 +3627,12 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
Fiona (🥈35 · ⭐ 1.1K) - Fiona reads and writes geographic data files. BSD-3 -- [GitHub](https://github.com/Toblerity/Fiona) (👨‍💻 72 · 🔀 200 · 📦 16K · 📋 770 - 4% open · ⏱️ 26.10.2023): +- [GitHub](https://github.com/Toblerity/Fiona) (👨‍💻 72 · 🔀 210 · 📦 17K · 📋 760 - 4% open · ⏱️ 05.12.2023): ``` git clone https://github.com/Toblerity/Fiona ``` -- [PyPi](https://pypi.org/project/fiona) (📥 6.7M / month · ⏱️ 12.10.2023): +- [PyPi](https://pypi.org/project/fiona) (📥 6.6M / month · 📦 48 · ⏱️ 12.10.2023): ``` pip install fiona ``` @@ -3690,12 +3643,12 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
ipyleaflet (🥈33 · ⭐ 1.4K) - A Jupyter - Leaflet.js bridge. MIT -- [GitHub](https://github.com/jupyter-widgets/ipyleaflet) (👨‍💻 86 · 🔀 360 · 📦 6.2K · 📋 600 - 42% open · ⏱️ 27.11.2023): +- [GitHub](https://github.com/jupyter-widgets/ipyleaflet) (👨‍💻 86 · 🔀 360 · 📦 6.3K · 📋 600 - 42% open · ⏱️ 27.11.2023): ``` git clone https://github.com/jupyter-widgets/ipyleaflet ``` -- [PyPi](https://pypi.org/project/ipyleaflet) (📥 150K / month · 📦 160 · ⏱️ 27.11.2023): +- [PyPi](https://pypi.org/project/ipyleaflet) (📥 140K / month · 📦 160 · ⏱️ 27.11.2023): ``` pip install ipyleaflet ``` @@ -3703,19 +3656,19 @@ _Libraries to load, process, analyze, and write geographic data as well as libra ``` conda install -c conda-forge ipyleaflet ``` -- [npm](https://www.npmjs.com/package/jupyter-leaflet) (📥 54K / month · 📦 5 · ⏱️ 27.11.2023): +- [npm](https://www.npmjs.com/package/jupyter-leaflet) (📥 55K / month · 📦 5 · ⏱️ 27.11.2023): ``` npm install jupyter-leaflet ```
ArcGIS API (🥉32 · ⭐ 1.7K) - Documentation and samples for ArcGIS API for Python. Apache-2 -- [GitHub](https://github.com/Esri/arcgis-python-api) (👨‍💻 89 · 🔀 1.1K · 📥 9.8K · 📦 3 · 📋 650 - 6% open · ⏱️ 27.11.2023): +- [GitHub](https://github.com/Esri/arcgis-python-api) (👨‍💻 89 · 🔀 1.1K · 📥 9.9K · 📦 3 · 📋 650 - 6% open · ⏱️ 27.11.2023): ``` git clone https://github.com/Esri/arcgis-python-api ``` -- [PyPi](https://pypi.org/project/arcgis) (📥 87K / month · 📦 33 · ⏱️ 18.10.2023): +- [PyPi](https://pypi.org/project/arcgis) (📥 100K / month · 📦 33 · ⏱️ 18.10.2023): ``` pip install arcgis ``` @@ -3724,7 +3677,7 @@ _Libraries to load, process, analyze, and write geographic data as well as libra docker pull esridocker/arcgis-api-python-notebook ```
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geojson (🥉31 · ⭐ 850 · 📈) - Python bindings and utilities for GeoJSON. BSD-3 +
geojson (🥉31 · ⭐ 850) - Python bindings and utilities for GeoJSON. BSD-3 - [GitHub](https://github.com/jazzband/geojson) (👨‍💻 56 · 🔀 120 · 📦 16K · 📋 100 - 26% open · ⏱️ 06.11.2023): @@ -3740,30 +3693,30 @@ _Libraries to load, process, analyze, and write geographic data as well as libra conda install -c conda-forge geojson ```
-
GeoViews (🥉28 · ⭐ 530) - Simple, concise geographical visualization in Python. BSD-3 +
GeoViews (🥉29 · ⭐ 540) - Simple, concise geographical visualization in Python. BSD-3 - [GitHub](https://github.com/holoviz/geoviews) (👨‍💻 30 · 🔀 72 · 📦 820 · 📋 340 - 33% open · ⏱️ 21.11.2023): ``` git clone https://github.com/holoviz/geoviews ``` -- [PyPi](https://pypi.org/project/geoviews) (📥 7.5K / month · 📦 35 · ⏱️ 01.11.2023): +- [PyPi](https://pypi.org/project/geoviews) (📥 7.2K / month · 📦 36 · ⏱️ 01.11.2023): ``` pip install geoviews ``` -- [Conda](https://anaconda.org/conda-forge/geoviews) (📥 200K · ⏱️ 02.11.2023): +- [Conda](https://anaconda.org/conda-forge/geoviews) (📥 210K · ⏱️ 02.11.2023): ``` conda install -c conda-forge geoviews ```
PySAL (🥉26 · ⭐ 1.2K) - PySAL: Python Spatial Analysis Library Meta-Package. BSD-3 -- [GitHub](https://github.com/pysal/pysal) (👨‍💻 78 · 🔀 280 · 📋 620 - 2% open · ⏱️ 05.09.2023): +- [GitHub](https://github.com/pysal/pysal) (👨‍💻 78 · 🔀 280 · 📋 620 - 2% open · ⏱️ 04.12.2023): ``` git clone https://github.com/pysal/pysal ``` -- [PyPi](https://pypi.org/project/pysal) (📥 20K / month · 📦 36 · ⏱️ 01.08.2023): +- [PyPi](https://pypi.org/project/pysal) (📥 21K / month · 📦 38 · ⏱️ 01.08.2023): ``` pip install pysal ``` @@ -3779,7 +3732,7 @@ _Libraries to load, process, analyze, and write geographic data as well as libra ``` git clone https://github.com/earthlab/earthpy ``` -- [PyPi](https://pypi.org/project/earthpy) (📥 5.5K / month · 📦 17 · ⏱️ 01.10.2021): +- [PyPi](https://pypi.org/project/earthpy) (📥 5.7K / month · 📦 17 · ⏱️ 01.10.2021): ``` pip install earthpy ``` @@ -3795,7 +3748,7 @@ _Libraries to load, process, analyze, and write geographic data as well as libra ``` git clone https://github.com/geospace-code/pymap3d ``` -- [PyPi](https://pypi.org/project/pymap3d) (📥 66K / month · 📦 22 · ⏱️ 05.03.2023): +- [PyPi](https://pypi.org/project/pymap3d) (📥 70K / month · 📦 22 · ⏱️ 05.03.2023): ``` pip install pymap3d ``` @@ -3808,9 +3761,9 @@ _Libraries to load, process, analyze, and write geographic data as well as libra - Geocoder (🥉32 · ⭐ 1.6K · 💀) - Python Geocoder. MIT - Satpy (🥉31 · ⭐ 970) - Python package for earth-observing satellite data processing. ❗️GPL-3.0 -- Sentinelsat (🥉26 · ⭐ 930) - Search and download Copernicus Sentinel satellite images. ❗️GPL-3.0 +- Sentinelsat (🥉26 · ⭐ 940) - Search and download Copernicus Sentinel satellite images. ❗️GPL-3.0 +- gmaps (🥉24 · ⭐ 760 · 💀) - Google maps for Jupyter notebooks. BSD-3 - Mapbox GL (🥉24 · ⭐ 640 · 💀) - Use Mapbox GL JS to visualize data in a Python Jupyter notebook. MIT -- gmaps (🥉23 · ⭐ 760 · 💀) - Google maps for Jupyter notebooks. BSD-3 - prettymaps (🥉22 · ⭐ 11K · 💤) - A small set of Python functions to draw pretty maps from.. ❗️AGPL-3.0 - geoplotlib (🥉21 · ⭐ 1K · 💀) - python toolbox for visualizing geographical data and making maps. MIT
@@ -3824,44 +3777,44 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
yfinance (🥇39 · ⭐ 11K) - Download market data from Yahoo! Finances API. Apache-2 -- [GitHub](https://github.com/ranaroussi/yfinance) (👨‍💻 94 · 🔀 2K · 📦 30K · 📋 1.2K - 14% open · ⏱️ 26.11.2023): +- [GitHub](https://github.com/ranaroussi/yfinance) (👨‍💻 95 · 🔀 2.1K · 📦 30K · 📋 1.2K - 14% open · ⏱️ 06.12.2023): ``` git clone https://github.com/ranaroussi/yfinance ``` -- [PyPi](https://pypi.org/project/yfinance) (📥 1.1M / month · 📦 290 · ⏱️ 18.11.2023): +- [PyPi](https://pypi.org/project/yfinance) (📥 1.1M / month · 📦 300 · ⏱️ 06.12.2023): ``` pip install yfinance ``` -- [Conda](https://anaconda.org/ranaroussi/yfinance) (📥 82K · ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/ranaroussi/yfinance) (📥 83K · ⏱️ 16.06.2023): ``` conda install -c ranaroussi yfinance ```
ta (🥈31 · ⭐ 3.8K) - Technical Analysis Library using Pandas and Numpy. MIT -- [GitHub](https://github.com/bukosabino/ta) (👨‍💻 34 · 🔀 820 · 📦 2.7K · 📋 230 - 54% open · ⏱️ 02.11.2023): +- [GitHub](https://github.com/bukosabino/ta) (👨‍💻 34 · 🔀 820 · 📦 2.8K · 📋 230 - 54% open · ⏱️ 02.11.2023): ``` git clone https://github.com/bukosabino/ta ``` -- [PyPi](https://pypi.org/project/ta) (📥 74K / month · 📦 44 · ⏱️ 02.11.2023): +- [PyPi](https://pypi.org/project/ta) (📥 71K / month · 📦 46 · ⏱️ 02.11.2023): ``` pip install ta ``` -- [Conda](https://anaconda.org/conda-forge/ta) (📥 21K · ⏱️ 02.11.2023): +- [Conda](https://anaconda.org/conda-forge/ta) (📥 22K · ⏱️ 02.11.2023): ``` conda install -c conda-forge ta ```
-
bt (🥈31 · ⭐ 1.8K) - bt - flexible backtesting for Python. MIT +
bt (🥈31 · ⭐ 1.9K) - bt - flexible backtesting for Python. MIT -- [GitHub](https://github.com/pmorissette/bt) (👨‍💻 30 · 🔀 430 · 📦 1.6K · 📋 340 - 24% open · ⏱️ 22.11.2023): +- [GitHub](https://github.com/pmorissette/bt) (👨‍💻 31 · 🔀 430 · 📦 1.6K · 📋 340 - 24% open · ⏱️ 01.12.2023): ``` git clone https://github.com/pmorissette/bt ``` -- [PyPi](https://pypi.org/project/bt) (📥 9K / month · 📦 28 · ⏱️ 20.11.2023): +- [PyPi](https://pypi.org/project/bt) (📥 8.8K / month · 📦 28 · ⏱️ 20.11.2023): ``` pip install bt ``` @@ -3877,23 +3830,23 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te ``` git clone https://github.com/microsoft/qlib ``` -- [PyPi](https://pypi.org/project/pyqlib) (📥 1.5K / month · 📦 1 · ⏱️ 15.06.2022): +- [PyPi](https://pypi.org/project/pyqlib) (📥 1.7K / month · 📦 1 · ⏱️ 18.07.2023): ``` pip install pyqlib ```
ffn (🥈30 · ⭐ 1.6K) - ffn - a financial function library for Python. MIT -- [GitHub](https://github.com/pmorissette/ffn) (👨‍💻 30 · 🔀 280 · 📦 390 · 📋 120 - 18% open · ⏱️ 20.11.2023): +- [GitHub](https://github.com/pmorissette/ffn) (👨‍💻 30 · 🔀 280 · 📦 400 · 📋 120 - 18% open · ⏱️ 20.11.2023): ``` git clone https://github.com/pmorissette/ffn ``` -- [PyPi](https://pypi.org/project/ffn) (📥 160K / month · 📦 31 · ⏱️ 20.11.2023): +- [PyPi](https://pypi.org/project/ffn) (📥 170K / month · 📦 31 · ⏱️ 20.11.2023): ``` pip install ffn ``` -- [Conda](https://anaconda.org/conda-forge/ffn) (📥 6.1K · ⏱️ 20.11.2023): +- [Conda](https://anaconda.org/conda-forge/ffn) (📥 6.2K · ⏱️ 20.11.2023): ``` conda install -c conda-forge ffn ``` @@ -3905,18 +3858,18 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te ``` git clone https://github.com/RomelTorres/alpha_vantage ``` -- [PyPi](https://pypi.org/project/alpha_vantage) (📥 23K / month · 📦 32 · ⏱️ 21.12.2020): +- [PyPi](https://pypi.org/project/alpha_vantage) (📥 24K / month · 📦 32 · ⏱️ 21.12.2020): ``` pip install alpha_vantage ``` -- [Conda](https://anaconda.org/conda-forge/alpha_vantage) (📥 5.9K · ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/alpha_vantage) (📥 6K · ⏱️ 16.06.2023): ``` conda install -c conda-forge alpha_vantage ```
IB-insync (🥈28 · ⭐ 2.5K) - Python sync/async framework for Interactive Brokers API. BSD-2 -- [GitHub](https://github.com/erdewit/ib_insync) (👨‍💻 36 · 🔀 580 · 📋 550 - 2% open · ⏱️ 17.10.2023): +- [GitHub](https://github.com/erdewit/ib_insync) (👨‍💻 36 · 🔀 580 · 📋 550 - 2% open · ⏱️ 01.12.2023): ``` git clone https://github.com/erdewit/ib_insync @@ -3930,7 +3883,7 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te conda install -c conda-forge ib-insync ```
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stockstats (🥉27 · ⭐ 1.2K) - Supply a wrapper ``StockDataFrame`` based on the.. BSD-3 +
stockstats (🥉26 · ⭐ 1.2K) - Supply a wrapper ``StockDataFrame`` based on the.. BSD-3 - [GitHub](https://github.com/jealous/stockstats) (👨‍💻 9 · 🔀 290 · 📦 960 · 📋 120 - 10% open · ⏱️ 30.07.2023): @@ -3949,19 +3902,19 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te ``` git clone https://github.com/gbeced/pyalgotrade ``` -- [PyPi](https://pypi.org/project/pyalgotrade) (📥 670 / month · 📦 21 · ⏱️ 21.08.2018): +- [PyPi](https://pypi.org/project/pyalgotrade) (📥 710 / month · 📦 21 · ⏱️ 21.08.2018): ``` pip install pyalgotrade ```
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FinQuant (🥉23 · ⭐ 1.1K) - A program for financial portfolio management, analysis and optimisation. MIT +
FinQuant (🥉24 · ⭐ 1.1K) - A program for financial portfolio management, analysis and optimisation. MIT -- [GitHub](https://github.com/fmilthaler/FinQuant) (👨‍💻 11 · 🔀 160 · 📦 85 · 📋 48 - 33% open · ⏱️ 03.09.2023): +- [GitHub](https://github.com/fmilthaler/FinQuant) (👨‍💻 11 · 🔀 160 · 📦 86 · 📋 48 - 33% open · ⏱️ 03.09.2023): ``` git clone https://github.com/fmilthaler/FinQuant ``` -- [PyPi](https://pypi.org/project/FinQuant) (📥 420 / month · ⏱️ 04.09.2023): +- [PyPi](https://pypi.org/project/FinQuant) (📥 610 / month · ⏱️ 04.09.2023): ``` pip install FinQuant ``` @@ -3973,19 +3926,19 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te ``` git clone https://github.com/google/tf-quant-finance ``` -- [PyPi](https://pypi.org/project/tf-quant-finance) (📥 570 / month · 📦 2 · ⏱️ 19.08.2022): +- [PyPi](https://pypi.org/project/tf-quant-finance) (📥 560 / month · 📦 2 · ⏱️ 19.08.2022): ``` pip install tf-quant-finance ```
finmarketpy (🥉21 · ⭐ 3.2K · 💤) - Python library for backtesting trading strategies &.. Apache-2 -- [GitHub](https://github.com/cuemacro/finmarketpy) (👨‍💻 14 · 🔀 480 · 📥 47 · 📦 11 · 📋 28 - 85% open · ⏱️ 26.04.2023): +- [GitHub](https://github.com/cuemacro/finmarketpy) (👨‍💻 14 · 🔀 480 · 📥 49 · 📦 11 · 📋 28 - 85% open · ⏱️ 26.04.2023): ``` git clone https://github.com/cuemacro/finmarketpy ``` -- [PyPi](https://pypi.org/project/finmarketpy) (📥 180 / month · ⏱️ 07.10.2021): +- [PyPi](https://pypi.org/project/finmarketpy) (📥 190 / month · ⏱️ 07.10.2021): ``` pip install finmarketpy ``` @@ -4014,14 +3967,14 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te _Libraries for forecasting, anomaly detection, feature extraction, and machine learning on time-series and sequential data._ -
sktime (🥇39 · ⭐ 7K) - A unified framework for machine learning with time series. BSD-3 +
sktime (🥇39 · ⭐ 7.1K) - A unified framework for machine learning with time series. BSD-3 -- [GitHub](https://github.com/sktime/sktime) (👨‍💻 300 · 🔀 1.2K · 📥 84 · 📦 1.9K · 📋 2K - 35% open · ⏱️ 29.11.2023): +- [GitHub](https://github.com/sktime/sktime) (👨‍💻 300 · 🔀 1.2K · 📥 84 · 📦 2K · 📋 2K - 35% open · ⏱️ 29.11.2023): ``` git clone https://github.com/alan-turing-institute/sktime ``` -- [PyPi](https://pypi.org/project/sktime) (📥 770K / month · 📦 55 · ⏱️ 06.11.2023): +- [PyPi](https://pypi.org/project/sktime) (📥 760K / month · 📦 57 · ⏱️ 06.11.2023): ``` pip install sktime ``` @@ -4032,7 +3985,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
Prophet (🥇36 · ⭐ 17K) - Tool for producing high quality forecasts for time series data that has.. MIT -- [GitHub](https://github.com/facebook/prophet) (👨‍💻 170 · 🔀 4.4K · 📥 2.1K · 📦 21 · 📋 2.1K - 18% open · ⏱️ 18.10.2023): +- [GitHub](https://github.com/facebook/prophet) (👨‍💻 170 · 🔀 4.5K · 📥 2.2K · 📦 21 · 📋 2.1K - 17% open · ⏱️ 18.10.2023): ``` git clone https://github.com/facebook/prophet @@ -4046,14 +3999,14 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l conda install -c conda-forge prophet ```
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StatsForecast (🥇33 · ⭐ 3.2K · 📈) - Lightning fast forecasting with statistical and.. Apache-2 +
StatsForecast (🥇33 · ⭐ 3.2K) - Lightning fast forecasting with statistical and econometric.. Apache-2 -- [GitHub](https://github.com/Nixtla/statsforecast) (👨‍💻 34 · 🔀 220 · 📦 600 · 📋 260 - 39% open · ⏱️ 28.11.2023): +- [GitHub](https://github.com/Nixtla/statsforecast) (👨‍💻 34 · 🔀 220 · 📦 610 · 📋 260 - 38% open · ⏱️ 06.12.2023): ``` git clone https://github.com/Nixtla/statsforecast ``` -- [PyPi](https://pypi.org/project/statsforecast) (📥 520K / month · 📦 21 · ⏱️ 23.08.2023): +- [PyPi](https://pypi.org/project/statsforecast) (📥 550K / month · 📦 26 · ⏱️ 23.08.2023): ``` pip install statsforecast ``` @@ -4064,12 +4017,12 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
tslearn (🥇33 · ⭐ 2.7K) - A machine learning toolkit dedicated to time-series data. BSD-2 -- [GitHub](https://github.com/tslearn-team/tslearn) (👨‍💻 43 · 🔀 320 · 📦 1K · 📋 310 - 38% open · ⏱️ 04.11.2023): +- [GitHub](https://github.com/tslearn-team/tslearn) (👨‍💻 43 · 🔀 320 · 📦 1K · 📋 310 - 38% open · ⏱️ 05.12.2023): ``` git clone https://github.com/tslearn-team/tslearn ``` -- [PyPi](https://pypi.org/project/tslearn) (📥 290K / month · 📦 45 · ⏱️ 21.08.2023): +- [PyPi](https://pypi.org/project/tslearn) (📥 290K / month · 📦 49 · ⏱️ 21.08.2023): ``` pip install tslearn ``` @@ -4080,12 +4033,12 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
pmdarima (🥇33 · ⭐ 1.5K) - A statistical library designed to fill the void in Pythons time series.. MIT -- [GitHub](https://github.com/alkaline-ml/pmdarima) (👨‍💻 22 · 🔀 230 · 📦 6.7K · 📋 320 - 15% open · ⏱️ 23.10.2023): +- [GitHub](https://github.com/alkaline-ml/pmdarima) (👨‍💻 22 · 🔀 230 · 📦 6.8K · 📋 320 - 15% open · ⏱️ 23.10.2023): ``` git clone https://github.com/alkaline-ml/pmdarima ``` -- [PyPi](https://pypi.org/project/pmdarima) (📥 1.8M / month · 📦 86 · ⏱️ 23.10.2023): +- [PyPi](https://pypi.org/project/pmdarima) (📥 1.8M / month · 📦 88 · ⏱️ 23.10.2023): ``` pip install pmdarima ``` @@ -4094,42 +4047,14 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l conda install -c conda-forge pmdarima ```
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NeuralProphet (🥈32 · ⭐ 3.4K) - NeuralProphet: A simple forecasting package. MIT - -- [GitHub](https://github.com/ourownstory/neural_prophet) (👨‍💻 50 · 🔀 440 · 📦 340 · 📋 500 - 8% open · ⏱️ 28.11.2023): - - ``` - git clone https://github.com/ourownstory/neural_prophet - ``` -- [PyPi](https://pypi.org/project/neuralprophet) (📥 67K / month · 📦 3 · ⏱️ 19.09.2023): - ``` - pip install neuralprophet - ``` -
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tsfresh (🥈31 · ⭐ 7.9K) - Automatic extraction of relevant features from time series:. MIT - -- [GitHub](https://github.com/blue-yonder/tsfresh) (👨‍💻 91 · 🔀 1.2K · 📦 21 · 📋 530 - 11% open · ⏱️ 24.10.2023): - - ``` - git clone https://github.com/blue-yonder/tsfresh - ``` -- [PyPi](https://pypi.org/project/tsfresh) (📥 200K / month · 📦 77 · ⏱️ 21.12.2021): - ``` - pip install tsfresh - ``` -- [Conda](https://anaconda.org/conda-forge/tsfresh) (📥 1.3M · ⏱️ 30.07.2023): - ``` - conda install -c conda-forge tsfresh - ``` -
Darts (🥈31 · ⭐ 6.7K) - A python library for user-friendly forecasting and anomaly detection.. Apache-2 -- [GitHub](https://github.com/unit8co/darts) (👨‍💻 110 · 🔀 740 · 📦 440 · 📋 1.2K - 18% open · ⏱️ 29.11.2023): +- [GitHub](https://github.com/unit8co/darts) (👨‍💻 110 · 🔀 740 · 📦 440 · 📋 1.2K - 18% open · ⏱️ 01.12.2023): ``` git clone https://github.com/unit8co/darts ``` -- [PyPi](https://pypi.org/project/u8darts) (📥 13K / month · 📦 5 · ⏱️ 18.11.2023): +- [PyPi](https://pypi.org/project/u8darts) (📥 14K / month · 📦 5 · ⏱️ 18.11.2023): ``` pip install u8darts ``` @@ -4142,6 +4067,18 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l docker pull unit8/darts ```
+
NeuralProphet (🥈31 · ⭐ 3.4K) - NeuralProphet: A simple forecasting package. MIT + +- [GitHub](https://github.com/ourownstory/neural_prophet) (👨‍💻 50 · 🔀 440 · 📦 340 · 📋 500 - 8% open · ⏱️ 28.11.2023): + + ``` + git clone https://github.com/ourownstory/neural_prophet + ``` +- [PyPi](https://pypi.org/project/neuralprophet) (📥 67K / month · 📦 3 · ⏱️ 19.09.2023): + ``` + pip install neuralprophet + ``` +
STUMPY (🥈31 · ⭐ 2.8K) - STUMPY is a powerful and scalable Python library for modern time series.. BSD-3 - [GitHub](https://github.com/TDAmeritrade/stumpy) (👨‍💻 35 · 🔀 270 · 📦 580 · 📋 460 - 11% open · ⏱️ 20.11.2023): @@ -4149,7 +4086,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` git clone https://github.com/TDAmeritrade/stumpy ``` -- [PyPi](https://pypi.org/project/stumpy) (📥 200K / month · 📦 15 · ⏱️ 21.08.2023): +- [PyPi](https://pypi.org/project/stumpy) (📥 190K / month · 📦 16 · ⏱️ 21.08.2023): ``` pip install stumpy ``` @@ -4158,25 +4095,41 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l conda install -c conda-forge stumpy ```
+
tsfresh (🥈30 · ⭐ 7.9K) - Automatic extraction of relevant features from time series:. MIT + +- [GitHub](https://github.com/blue-yonder/tsfresh) (👨‍💻 91 · 🔀 1.2K · 📦 21 · 📋 530 - 11% open · ⏱️ 24.10.2023): + + ``` + git clone https://github.com/blue-yonder/tsfresh + ``` +- [PyPi](https://pypi.org/project/tsfresh) (📥 190K / month · 📦 77 · ⏱️ 14.06.2023): + ``` + pip install tsfresh + ``` +- [Conda](https://anaconda.org/conda-forge/tsfresh) (📥 1.3M · ⏱️ 30.07.2023): + ``` + conda install -c conda-forge tsfresh + ``` +
GluonTS (🥈30 · ⭐ 3.9K) - Probabilistic time series modeling in Python. Apache-2 -- [GitHub](https://github.com/awslabs/gluonts) (👨‍💻 110 · 🔀 750 · 📋 900 - 30% open · ⏱️ 26.11.2023): +- [GitHub](https://github.com/awslabs/gluonts) (👨‍💻 110 · 🔀 750 · 📋 900 - 31% open · ⏱️ 07.12.2023): ``` git clone https://github.com/awslabs/gluon-ts ``` -- [PyPi](https://pypi.org/project/gluonts) (📥 370K / month · 📦 16 · ⏱️ 27.11.2023): +- [PyPi](https://pypi.org/project/gluonts) (📥 320K / month · 📦 16 · ⏱️ 07.12.2023): ``` pip install gluonts ``` -- [Conda](https://anaconda.org/anaconda/gluonts) (📥 640 · ⏱️ 23.06.2023): +- [Conda](https://anaconda.org/anaconda/gluonts) (📥 650 · ⏱️ 23.06.2023): ``` conda install -c anaconda gluonts ```
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pytorch-forecasting (🥈30 · ⭐ 3.3K) - Time series forecasting with PyTorch. MIT +
pytorch-forecasting (🥈30 · ⭐ 3.4K) - Time series forecasting with PyTorch. MIT -- [GitHub](https://github.com/jdb78/pytorch-forecasting) (👨‍💻 43 · 🔀 530 · 📋 710 - 60% open · ⏱️ 28.11.2023): +- [GitHub](https://github.com/jdb78/pytorch-forecasting) (👨‍💻 43 · 🔀 530 · 📋 710 - 60% open · ⏱️ 04.12.2023): ``` git clone https://github.com/jdb78/pytorch-forecasting @@ -4192,12 +4145,12 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
NeuralForecast (🥈29 · ⭐ 2K) - Scalable and user friendly neural forecasting algorithms. Apache-2 -- [GitHub](https://github.com/Nixtla/neuralforecast) (👨‍💻 31 · 🔀 220 · 📦 73 · 📋 380 - 22% open · ⏱️ 28.11.2023): +- [GitHub](https://github.com/Nixtla/neuralforecast) (👨‍💻 32 · 🔀 220 · 📦 78 · 📋 380 - 22% open · ⏱️ 07.12.2023): ``` git clone https://github.com/Nixtla/neuralforecast ``` -- [PyPi](https://pypi.org/project/neuralforecast) (📥 15K / month · 📦 3 · ⏱️ 05.10.2023): +- [PyPi](https://pypi.org/project/neuralforecast) (📥 15K / month · 📦 5 · ⏱️ 05.10.2023): ``` pip install neuralforecast ``` @@ -4206,32 +4159,32 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l conda install -c conda-forge neuralforecast ```
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pyts (🥉28 · ⭐ 1.6K) - A Python package for time series classification. BSD-3 +
skforecast (🥉28 · ⭐ 740) - Time series forecasting with scikit-learn models. BSD-3 -- [GitHub](https://github.com/johannfaouzi/pyts) (👨‍💻 14 · 🔀 160 · 📦 500 · 📋 76 - 55% open · ⏱️ 20.06.2023): +- [GitHub](https://github.com/JoaquinAmatRodrigo/skforecast) (👨‍💻 9 · 🔀 92 · 📦 220 · 📋 100 - 13% open · ⏱️ 29.11.2023): ``` - git clone https://github.com/johannfaouzi/pyts - ``` -- [PyPi](https://pypi.org/project/pyts) (📥 120K / month · 📦 19 · ⏱️ 31.10.2021): - ``` - pip install pyts + git clone https://github.com/JoaquinAmatRodrigo/skforecast ``` -- [Conda](https://anaconda.org/conda-forge/pyts) (📥 22K · ⏱️ 18.06.2023): +- [PyPi](https://pypi.org/project/skforecast) (📥 43K / month · 📦 6 · ⏱️ 16.11.2023): ``` - conda install -c conda-forge pyts + pip install skforecast ```
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skforecast (🥉28 · ⭐ 740) - Time series forecasting with scikit-learn models. BSD-3 +
pyts (🥉26 · ⭐ 1.6K · 📉) - A Python package for time series classification. BSD-3 -- [GitHub](https://github.com/JoaquinAmatRodrigo/skforecast) (👨‍💻 9 · 🔀 91 · 📦 220 · 📋 100 - 13% open · ⏱️ 29.11.2023): +- [GitHub](https://github.com/johannfaouzi/pyts) (👨‍💻 14 · 🔀 160 · 📦 500 · 📋 76 - 55% open · ⏱️ 20.06.2023): ``` - git clone https://github.com/JoaquinAmatRodrigo/skforecast + git clone https://github.com/johannfaouzi/pyts ``` -- [PyPi](https://pypi.org/project/skforecast) (📥 41K / month · 📦 6 · ⏱️ 16.11.2023): +- [PyPi](https://pypi.org/project/pyts) (📥 110K / month · 📦 19 · ⏱️ 31.10.2021): ``` - pip install skforecast + pip install pyts + ``` +- [Conda](https://anaconda.org/conda-forge/pyts) (📥 22K · ⏱️ 18.06.2023): + ``` + conda install -c conda-forge pyts ```
Streamz (🥉26 · ⭐ 1.2K · 💤) - Real-time stream processing for python. BSD-3 @@ -4241,7 +4194,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` git clone https://github.com/python-streamz/streamz ``` -- [PyPi](https://pypi.org/project/streamz) (📥 19K / month · 📦 37 · ⏱️ 27.07.2022): +- [PyPi](https://pypi.org/project/streamz) (📥 21K / month · 📦 40 · ⏱️ 27.07.2022): ``` pip install streamz ``` @@ -4250,38 +4203,26 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l conda install -c conda-forge streamz ```
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TSFEL (🥉24 · ⭐ 760) - An intuitive library to extract features from time series. BSD-3 - -- [GitHub](https://github.com/fraunhoferportugal/tsfel) (👨‍💻 18 · 🔀 130 · 📦 100 · 📋 68 - 7% open · ⏱️ 24.11.2023): - - ``` - git clone https://github.com/fraunhoferportugal/tsfel - ``` -- [PyPi](https://pypi.org/project/tsfel) (📥 22K / month · ⏱️ 22.08.2023): - ``` - pip install tsfel - ``` -
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greykite (🥉22 · ⭐ 1.8K) - A flexible, intuitive and fast forecasting library. BSD-2 +
TSFEL (🥉24 · ⭐ 770) - An intuitive library to extract features from time series. BSD-3 -- [GitHub](https://github.com/linkedin/greykite) (👨‍💻 9 · 🔀 100 · 📥 4 · 📦 25 · 📋 100 - 22% open · ⏱️ 07.06.2023): +- [GitHub](https://github.com/fraunhoferportugal/tsfel) (👨‍💻 18 · 🔀 130 · 📦 100 · 📋 68 - 7% open · ⏱️ 24.11.2023): ``` - git clone https://github.com/linkedin/greykite + git clone https://github.com/fraunhoferportugal/tsfel ``` -- [PyPi](https://pypi.org/project/greykite) (📥 14K / month · ⏱️ 15.07.2022): +- [PyPi](https://pypi.org/project/tsfel) (📥 22K / month · ⏱️ 22.08.2023): ``` - pip install greykite + pip install tsfel ```
uber/orbit (🥉22 · ⭐ 1.8K) - A Python package for Bayesian forecasting with object-oriented.. Apache-2 -- [GitHub](https://github.com/uber/orbit) (👨‍💻 18 · 🔀 130 · 📦 41 · 📋 390 - 16% open · ⏱️ 26.09.2023): +- [GitHub](https://github.com/uber/orbit) (👨‍💻 18 · 🔀 130 · 📦 42 · 📋 390 - 16% open · ⏱️ 26.09.2023): ``` git clone https://github.com/uber/orbit ``` -- [PyPi](https://pypi.org/project/orbit-ml) (📥 36K / month · 📦 1 · ⏱️ 29.01.2023): +- [PyPi](https://pypi.org/project/orbit-ml) (📥 29K / month · 📦 1 · ⏱️ 29.01.2023): ``` pip install orbit-ml ``` @@ -4297,36 +4238,36 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` git clone https://github.com/X-DataInitiative/tick ``` -- [PyPi](https://pypi.org/project/tick) (📥 1.3K / month · 📦 2 · ⏱️ 24.05.2020): +- [PyPi](https://pypi.org/project/tick) (📥 1.2K / month · 📦 2 · ⏱️ 24.05.2020): ``` pip install tick ```
-
luminol (🥉21 · ⭐ 1.1K) - Anomaly Detection and Correlation library. Apache-2 +
greykite (🥉21 · ⭐ 1.8K) - A flexible, intuitive and fast forecasting library. BSD-2 -- [GitHub](https://github.com/linkedin/luminol) (👨‍💻 9 · 🔀 220 · 📦 76 · 📋 43 - 72% open · ⏱️ 09.05.2023): +- [GitHub](https://github.com/linkedin/greykite) (👨‍💻 9 · 🔀 100 · 📥 4 · 📦 25 · 📋 100 - 22% open · ⏱️ 07.06.2023): ``` - git clone https://github.com/linkedin/luminol + git clone https://github.com/linkedin/greykite ``` -- [PyPi](https://pypi.org/project/luminol) (📥 6.2K / month · 📦 15 · ⏱️ 11.12.2017): +- [PyPi](https://pypi.org/project/greykite) (📥 14K / month · ⏱️ 15.07.2022): ``` - pip install luminol + pip install greykite ```
-
Auto TS (🥉19 · ⭐ 630) - Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost.. Apache-2 +
luminol (🥉21 · ⭐ 1.1K · 💤) - Anomaly Detection and Correlation library. Apache-2 -- [GitHub](https://github.com/AutoViML/Auto_TS) (👨‍💻 11 · 🔀 110 · 📋 85 - 1% open · ⏱️ 22.11.2023): +- [GitHub](https://github.com/linkedin/luminol) (👨‍💻 9 · 🔀 220 · 📦 76 · 📋 43 - 72% open · ⏱️ 09.05.2023): ``` - git clone https://github.com/AutoViML/Auto_TS + git clone https://github.com/linkedin/luminol ``` -- [PyPi](https://pypi.org/project/auto-ts) (📥 4K / month · ⏱️ 02.11.2023): +- [PyPi](https://pypi.org/project/luminol) (📥 6.2K / month · 📦 15 · ⏱️ 11.12.2017): ``` - pip install auto-ts + pip install luminol ```
-
pydlm (🥉19 · ⭐ 470) - A python library for Bayesian time series modeling. BSD-3 +
pydlm (🥉20 · ⭐ 470) - A python library for Bayesian time series modeling. BSD-3 - [GitHub](https://github.com/wwrechard/pydlm) (👨‍💻 6 · 🔀 97 · 📦 32 · 📋 49 - 75% open · ⏱️ 04.09.2023): @@ -4338,14 +4279,26 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l pip install pydlm ```
-
tsflex (🥉17 · ⭐ 330) - Flexible time series feature extraction & processing. MIT +
Auto TS (🥉19 · ⭐ 640) - Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost.. Apache-2 + +- [GitHub](https://github.com/AutoViML/Auto_TS) (👨‍💻 11 · 🔀 110 · ⏱️ 03.12.2023): + + ``` + git clone https://github.com/AutoViML/Auto_TS + ``` +- [PyPi](https://pypi.org/project/auto-ts) (📥 4.2K / month · ⏱️ 03.12.2023): + ``` + pip install auto-ts + ``` +
+
tsflex (🥉17 · ⭐ 340) - Flexible time series feature extraction & processing. MIT - [GitHub](https://github.com/predict-idlab/tsflex) (👨‍💻 6 · 🔀 22 · 📦 10 · 📋 45 - 60% open · ⏱️ 04.10.2023): ``` git clone https://github.com/predict-idlab/tsflex ``` -- [PyPi](https://pypi.org/project/tsflex) (📥 360 / month · ⏱️ 11.10.2022): +- [PyPi](https://pypi.org/project/tsflex) (📥 270 / month · ⏱️ 11.10.2022): ``` pip install tsflex ``` @@ -4357,12 +4310,12 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
Show 7 hidden projects... - PyFlux (🥉25 · ⭐ 2.1K · 💀) - Open source time series library for Python. BSD-3 -- ADTK (🥉20 · ⭐ 980 · 💀) - A Python toolkit for rule-based/unsupervised anomaly detection in time.. MPL-2.0 -- seglearn (🥉20 · ⭐ 560 · 💀) - Python module for machine learning time series:. BSD-3 +- seglearn (🥉21 · ⭐ 560 · 💀) - Python module for machine learning time series:. BSD-3 +- ADTK (🥉19 · ⭐ 980 · 💀) - A Python toolkit for rule-based/unsupervised anomaly detection in time.. MPL-2.0 - matrixprofile-ts (🥉19 · ⭐ 720 · 💀) - A Python library for detecting patterns and anomalies.. Apache-2 - atspy (🥉15 · ⭐ 500 · 💀) - AtsPy: Automated Time Series Models in Python (by @firmai). MIT -- tsaug (🥉14 · ⭐ 320 · 💀) - A Python package for time series augmentation. Apache-2 -- tslumen (🥉8 · ⭐ 54 · 💤) - A library for Time Series EDA (exploratory data analysis). Apache-2 +- tsaug (🥉13 · ⭐ 320 · 💀) - A Python package for time series augmentation. Apache-2 +- tslumen (🥉8 · ⭐ 54 · 💀) - A library for Time Series EDA (exploratory data analysis). Apache-2

@@ -4372,14 +4325,14 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic data, and other medical imaging formats._ -
MNE (🥇39 · ⭐ 2.4K) - MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python. BSD-3 +
MNE (🥇38 · ⭐ 2.4K) - MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python. BSD-3 -- [GitHub](https://github.com/mne-tools/mne-python) (👨‍💻 360 · 🔀 1.3K · 📦 3.2K · 📋 4.7K - 10% open · ⏱️ 29.11.2023): +- [GitHub](https://github.com/mne-tools/mne-python) (👨‍💻 360 · 🔀 1.3K · 📦 3.3K · 📋 4.7K - 10% open · ⏱️ 06.12.2023): ``` git clone https://github.com/mne-tools/mne-python ``` -- [PyPi](https://pypi.org/project/mne) (📥 94K / month · 📦 280 · ⏱️ 20.11.2023): +- [PyPi](https://pypi.org/project/mne) (📥 91K / month · 📦 280 · ⏱️ 20.11.2023): ``` pip install mne ``` @@ -4390,7 +4343,7 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
MONAI (🥇36 · ⭐ 4.9K) - AI Toolkit for Healthcare Imaging. Apache-2 -- [GitHub](https://github.com/Project-MONAI/MONAI) (👨‍💻 180 · 🔀 900 · 📦 1.5K · 📋 2.8K - 12% open · ⏱️ 30.11.2023): +- [GitHub](https://github.com/Project-MONAI/MONAI) (👨‍💻 180 · 🔀 910 · 📦 1.6K · 📋 2.8K - 12% open · ⏱️ 05.12.2023): ``` git clone https://github.com/Project-MONAI/MONAI @@ -4406,92 +4359,92 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
Nilearn (🥇36 · ⭐ 1.1K) - Machine learning for NeuroImaging in Python. BSD-3 -- [GitHub](https://github.com/nilearn/nilearn) (👨‍💻 230 · 🔀 530 · 📥 150 · 📦 2.7K · 📋 2K - 15% open · ⏱️ 30.11.2023): +- [GitHub](https://github.com/nilearn/nilearn) (👨‍💻 230 · 🔀 530 · 📥 150 · 📦 2.7K · 📋 2K - 15% open · ⏱️ 07.12.2023): ``` git clone https://github.com/nilearn/nilearn ``` -- [PyPi](https://pypi.org/project/nilearn) (📥 53K / month · 📦 290 · ⏱️ 29.09.2023): +- [PyPi](https://pypi.org/project/nilearn) (📥 56K / month · 📦 290 · ⏱️ 29.09.2023): ``` pip install nilearn ``` -- [Conda](https://anaconda.org/conda-forge/nilearn) (📥 250K · ⏱️ 02.10.2023): +- [Conda](https://anaconda.org/conda-forge/nilearn) (📥 260K · ⏱️ 02.10.2023): ``` conda install -c conda-forge nilearn ```
-
DIPY (🥈34 · ⭐ 630) - DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic.. BSD-3 +
Lifelines (🥈34 · ⭐ 2.2K) - Survival analysis in Python. MIT -- [GitHub](https://github.com/dipy/dipy) (👨‍💻 150 · 🔀 390 · 📦 940 · 📋 890 - 16% open · ⏱️ 30.11.2023): +- [GitHub](https://github.com/CamDavidsonPilon/lifelines) (👨‍💻 120 · 🔀 560 · 📦 2K · 📋 940 - 27% open · ⏱️ 15.11.2023): ``` - git clone https://github.com/dipy/dipy + git clone https://github.com/CamDavidsonPilon/lifelines ``` -- [PyPi](https://pypi.org/project/dipy) (📥 17K / month · 📦 110 · ⏱️ 11.03.2022): +- [PyPi](https://pypi.org/project/lifelines) (📥 440K / month · 📦 130 · ⏱️ 13.09.2023): ``` - pip install dipy + pip install lifelines ``` -- [Conda](https://anaconda.org/conda-forge/dipy) (📥 420K · ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/lifelines) (📥 300K · ⏱️ 13.09.2023): ``` - conda install -c conda-forge dipy + conda install -c conda-forge lifelines ```
-
Lifelines (🥈33 · ⭐ 2.2K) - Survival analysis in Python. MIT +
NIPYPE (🥈34 · ⭐ 710) - Workflows and interfaces for neuroimaging packages. Apache-2 -- [GitHub](https://github.com/CamDavidsonPilon/lifelines) (👨‍💻 120 · 🔀 560 · 📦 2K · 📋 940 - 27% open · ⏱️ 15.11.2023): +- [GitHub](https://github.com/nipy/nipype) (👨‍💻 250 · 🔀 510 · 📦 3.8K · 📋 1.3K - 29% open · ⏱️ 06.12.2023): ``` - git clone https://github.com/CamDavidsonPilon/lifelines + git clone https://github.com/nipy/nipype ``` -- [PyPi](https://pypi.org/project/lifelines) (📥 420K / month · 📦 130 · ⏱️ 13.09.2023): +- [PyPi](https://pypi.org/project/nipype) (📥 94K / month · 📦 180 · ⏱️ 06.04.2023): ``` - pip install lifelines + pip install nipype ``` -- [Conda](https://anaconda.org/conda-forge/lifelines) (📥 300K · ⏱️ 13.09.2023): +- [Conda](https://anaconda.org/conda-forge/nipype) (📥 590K · ⏱️ 22.09.2023): ``` - conda install -c conda-forge lifelines + conda install -c conda-forge nipype ```
-
Hail (🥈33 · ⭐ 900) - Cloud-native genomic dataframes and batch computing. MIT +
DIPY (🥈34 · ⭐ 630) - DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic.. BSD-3 -- [GitHub](https://github.com/hail-is/hail) (👨‍💻 91 · 🔀 230 · 📦 120 · 📋 2.3K - 7% open · ⏱️ 29.11.2023): +- [GitHub](https://github.com/dipy/dipy) (👨‍💻 150 · 🔀 390 · 📦 950 · 📋 890 - 16% open · ⏱️ 06.12.2023): ``` - git clone https://github.com/hail-is/hail + git clone https://github.com/dipy/dipy ``` -- [PyPi](https://pypi.org/project/hail) (📥 53K / month · 📦 17 · ⏱️ 30.10.2023): +- [PyPi](https://pypi.org/project/dipy) (📥 17K / month · 📦 110 · ⏱️ 23.04.2023): ``` - pip install hail + pip install dipy + ``` +- [Conda](https://anaconda.org/conda-forge/dipy) (📥 420K · ⏱️ 16.06.2023): + ``` + conda install -c conda-forge dipy ```
-
NIPYPE (🥈33 · ⭐ 700) - Workflows and interfaces for neuroimaging packages. Apache-2 +
Hail (🥈33 · ⭐ 900) - Cloud-native genomic dataframes and batch computing. MIT -- [GitHub](https://github.com/nipy/nipype) (👨‍💻 250 · 🔀 510 · 📦 3.8K · 📋 1.3K - 29% open · ⏱️ 15.11.2023): +- [GitHub](https://github.com/hail-is/hail) (👨‍💻 91 · 🔀 230 · 📦 120 · 📋 2.3K - 7% open · ⏱️ 06.12.2023): ``` - git clone https://github.com/nipy/nipype - ``` -- [PyPi](https://pypi.org/project/nipype) (📥 90K / month · 📦 180 · ⏱️ 21.05.2017): - ``` - pip install nipype + git clone https://github.com/hail-is/hail ``` -- [Conda](https://anaconda.org/conda-forge/nipype) (📥 590K · ⏱️ 22.09.2023): +- [PyPi](https://pypi.org/project/hail) (📥 52K / month · 📦 17 · ⏱️ 30.10.2023): ``` - conda install -c conda-forge nipype + pip install hail ```
-
NiBabel (🥈33 · ⭐ 590) - Python package to access a cacophony of neuro-imaging file formats. MIT +
NiBabel (🥈33 · ⭐ 600) - Python package to access a cacophony of neuro-imaging file formats. MIT -- [GitHub](https://github.com/nipy/nibabel) (👨‍💻 100 · 🔀 250 · 📦 16K · 📋 510 - 24% open · ⏱️ 07.11.2023): +- [GitHub](https://github.com/nipy/nibabel) (👨‍💻 100 · 🔀 250 · 📦 16K · 📋 510 - 23% open · ⏱️ 07.12.2023): ``` git clone https://github.com/nipy/nibabel ``` -- [PyPi](https://pypi.org/project/nibabel) (📥 280K / month · 📦 1.2K · ⏱️ 03.04.2023): +- [PyPi](https://pypi.org/project/nibabel) (📥 290K / month · 📦 1.2K · ⏱️ 03.04.2023): ``` pip install nibabel ``` -- [Conda](https://anaconda.org/conda-forge/nibabel) (📥 660K · ⏱️ 29.09.2023): +- [Conda](https://anaconda.org/conda-forge/nibabel) (📥 670K · ⏱️ 29.09.2023): ``` conda install -c conda-forge nibabel ``` @@ -4503,7 +4456,7 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic ``` git clone https://github.com/nipy/nipy ``` -- [PyPi](https://pypi.org/project/nipy) (📥 4.5K / month · 📦 50 · ⏱️ 29.03.2021): +- [PyPi](https://pypi.org/project/nipy) (📥 4.8K / month · 📦 51 · ⏱️ 29.03.2021): ``` pip install nipy ``` @@ -4514,7 +4467,7 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
DeepVariant (🥉27 · ⭐ 3K) - DeepVariant is an analysis pipeline that uses a deep neural.. BSD-3 -- [GitHub](https://github.com/google/deepvariant) (👨‍💻 28 · 🔀 680 · 📥 4.7K · 📋 680 - 1% open · ⏱️ 02.11.2023): +- [GitHub](https://github.com/google/deepvariant) (👨‍💻 28 · 🔀 680 · 📥 4.7K · 📋 690 - 1% open · ⏱️ 02.11.2023): ``` git clone https://github.com/google/deepvariant @@ -4543,7 +4496,7 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
Show 8 hidden projects... - NiftyNet (🥉24 · ⭐ 1.3K · 💀) - [unmaintained] An open-source convolutional neural.. Apache-2 -- MedPy (🥉23 · ⭐ 520 · 💤) - Medical image processing in Python. ❗️GPL-3.0 +- MedPy (🥉22 · ⭐ 520) - Medical image processing in Python. ❗️GPL-3.0 - DLTK (🥉20 · ⭐ 1.4K · 💀) - Deep Learning Toolkit for Medical Image Analysis. Apache-2 - Glow (🥉20 · ⭐ 250 · 💤) - An open-source toolkit for large-scale genomic analysis. Apache-2 - Medical Detection Toolkit (🥉15 · ⭐ 1.2K · 💀) - The Medical Detection Toolkit contains 2D + 3D.. Apache-2 @@ -4559,35 +4512,35 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic _Libraries for processing tabular and structured data._ -
pytorch_tabular (🥈21 · ⭐ 1.1K) - A standard framework for modelling Deep Learning Models.. MIT +
carefree-learn (🥈21 · ⭐ 400) - Deep Learning PyTorch. MIT -- [GitHub](https://github.com/manujosephv/pytorch_tabular) (👨‍💻 17 · 🔀 110 · 📥 21 · 📋 120 - 10% open · ⏱️ 29.11.2023): +- [GitHub](https://github.com/carefree0910/carefree-learn) (👨‍💻 1 · 🔀 37 · 📦 4 · 📋 82 - 2% open · ⏱️ 06.12.2023): ``` - git clone https://github.com/manujosephv/pytorch_tabular + git clone https://github.com/carefree0910/carefree-learn ``` -- [PyPi](https://pypi.org/project/pytorch_tabular) (📥 4.1K / month · 📦 2 · ⏱️ 01.09.2021): +- [PyPi](https://pypi.org/project/carefree-learn) (📥 220 / month · ⏱️ 17.10.2023): ``` - pip install pytorch_tabular + pip install carefree-learn ```
-
carefree-learn (🥈21 · ⭐ 400) - Deep Learning PyTorch. MIT +
pytorch_tabular (🥉20 · ⭐ 1.1K) - A standard framework for modelling Deep Learning Models.. MIT -- [GitHub](https://github.com/carefree0910/carefree-learn) (👨‍💻 1 · 🔀 37 · 📦 4 · 📋 82 - 2% open · ⏱️ 30.11.2023): +- [GitHub](https://github.com/manujosephv/pytorch_tabular) (👨‍💻 17 · 🔀 120 · 📥 21 · 📋 120 - 10% open · ⏱️ 07.12.2023): ``` - git clone https://github.com/carefree0910/carefree-learn + git clone https://github.com/manujosephv/pytorch_tabular ``` -- [PyPi](https://pypi.org/project/carefree-learn) (📥 330 / month · ⏱️ 17.10.2023): +- [PyPi](https://pypi.org/project/pytorch_tabular) (📥 3.2K / month · 📦 2 · ⏱️ 01.09.2021): ``` - pip install carefree-learn + pip install pytorch_tabular ```
Show 3 hidden projects... - miceforest (🥇23 · ⭐ 270) - Multiple Imputation with LightGBM in Python. MIT - upgini (🥈21 · ⭐ 250) - Data search & enrichment library for Machine Learning Easily find and add.. BSD-3 -- deltapy (🥉13 · ⭐ 520 · 💀) - DeltaPy - Tabular Data Augmentation (by @firmai). MIT +- deltapy (🥉12 · ⭐ 520 · 💀) - DeltaPy - Tabular Data Augmentation (by @firmai). MIT

@@ -4599,40 +4552,40 @@ _Libraries for optical character recognition (OCR) and text extraction from imag
PaddleOCR (🥇38 · ⭐ 35K) - Awesome multilingual OCR toolkits based on PaddlePaddle.. Apache-2 -- [GitHub](https://github.com/PaddlePaddle/PaddleOCR) (👨‍💻 180 · 🔀 6.8K · 📦 2K · 📋 8.3K - 12% open · ⏱️ 22.11.2023): +- [GitHub](https://github.com/PaddlePaddle/PaddleOCR) (👨‍💻 180 · 🔀 6.8K · 📦 2K · 📋 8.3K - 12% open · ⏱️ 06.12.2023): ``` git clone https://github.com/PaddlePaddle/PaddleOCR ``` -- [PyPi](https://pypi.org/project/paddleocr) (📥 99K / month · 📦 30 · ⏱️ 15.09.2023): +- [PyPi](https://pypi.org/project/paddleocr) (📥 100K / month · 📦 30 · ⏱️ 15.09.2023): ``` pip install paddleocr ```
EasyOCR (🥇35 · ⭐ 20K) - Ready-to-use OCR with 80+ supported languages and all popular writing.. Apache-2 -- [GitHub](https://github.com/JaidedAI/EasyOCR) (👨‍💻 130 · 🔀 2.7K · 📥 7.5M · 📦 4.4K · 📋 890 - 34% open · ⏱️ 04.09.2023): +- [GitHub](https://github.com/JaidedAI/EasyOCR) (👨‍💻 130 · 🔀 2.7K · 📥 7.6M · 📦 4.5K · 📋 890 - 34% open · ⏱️ 04.09.2023): ``` git clone https://github.com/JaidedAI/EasyOCR ``` -- [PyPi](https://pypi.org/project/easyocr) (📥 210K / month · 📦 69 · ⏱️ 04.09.2023): +- [PyPi](https://pypi.org/project/easyocr) (📥 220K / month · 📦 69 · ⏱️ 04.09.2023): ``` pip install easyocr ```
OCRmyPDF (🥈34 · ⭐ 11K) - OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them.. MPL-2.0 -- [GitHub](https://github.com/ocrmypdf/OCRmyPDF) (👨‍💻 86 · 🔀 800 · 📥 1.2K · 📦 680 · 📋 1K - 8% open · ⏱️ 30.11.2023): +- [GitHub](https://github.com/ocrmypdf/OCRmyPDF) (👨‍💻 86 · 🔀 800 · 📥 1.3K · 📦 680 · 📋 1K - 8% open · ⏱️ 03.12.2023): ``` git clone https://github.com/ocrmypdf/OCRmyPDF ``` -- [PyPi](https://pypi.org/project/ocrmypdf) (📥 48K / month · 📦 17 · ⏱️ 29.11.2023): +- [PyPi](https://pypi.org/project/ocrmypdf) (📥 50K / month · 📦 17 · ⏱️ 29.11.2023): ``` pip install ocrmypdf ``` -- [Conda](https://anaconda.org/conda-forge/ocrmypdf) (📥 59K · ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/ocrmypdf) (📥 60K · ⏱️ 16.06.2023): ``` conda install -c conda-forge ocrmypdf ``` @@ -4660,7 +4613,7 @@ _Libraries for optical character recognition (OCR) and text extraction from imag ``` git clone https://github.com/sirfz/tesserocr ``` -- [PyPi](https://pypi.org/project/tesserocr) (📥 52K / month · 📦 72 · ⏱️ 09.10.2023): +- [PyPi](https://pypi.org/project/tesserocr) (📥 50K / month · 📦 72 · ⏱️ 09.10.2023): ``` pip install tesserocr ``` @@ -4671,24 +4624,24 @@ _Libraries for optical character recognition (OCR) and text extraction from imag
MMOCR (🥉28 · ⭐ 3.8K) - OpenMMLab Text Detection, Recognition and Understanding Toolbox. Apache-2 -- [GitHub](https://github.com/open-mmlab/mmocr) (👨‍💻 90 · 🔀 700 · 📦 96 · 📋 890 - 17% open · ⏱️ 01.09.2023): +- [GitHub](https://github.com/open-mmlab/mmocr) (👨‍💻 90 · 🔀 700 · 📦 97 · 📋 890 - 17% open · ⏱️ 01.09.2023): ``` git clone https://github.com/open-mmlab/mmocr ``` -- [PyPi](https://pypi.org/project/mmocr) (📥 4.8K / month · 📦 2 · ⏱️ 05.05.2022): +- [PyPi](https://pypi.org/project/mmocr) (📥 5.9K / month · 📦 2 · ⏱️ 05.05.2022): ``` pip install mmocr ```
keras-ocr (🥉25 · ⭐ 1.3K) - A packaged and flexible version of the CRAFT text detector and.. MIT -- [GitHub](https://github.com/faustomorales/keras-ocr) (👨‍💻 18 · 🔀 320 · 📥 720K · 📦 360 · ⏱️ 06.11.2023): +- [GitHub](https://github.com/faustomorales/keras-ocr) (👨‍💻 18 · 🔀 320 · 📥 730K · 📦 360 · ⏱️ 06.11.2023): ``` git clone https://github.com/faustomorales/keras-ocr ``` -- [PyPi](https://pypi.org/project/keras-ocr) (📥 18K / month · 📦 8 · ⏱️ 06.11.2023): +- [PyPi](https://pypi.org/project/keras-ocr) (📥 21K / month · 📦 8 · ⏱️ 06.11.2023): ``` pip install keras-ocr ``` @@ -4699,7 +4652,7 @@ _Libraries for optical character recognition (OCR) and text extraction from imag
calamari (🥉23 · ⭐ 1K) - Line based ATR Engine based on OCRopy. Apache-2 -- [GitHub](https://github.com/Calamari-OCR/calamari) (👨‍💻 20 · 🔀 200 · 📋 260 - 22% open · ⏱️ 18.08.2023): +- [GitHub](https://github.com/Calamari-OCR/calamari) (👨‍💻 20 · 🔀 210 · 📋 270 - 23% open · ⏱️ 18.08.2023): ``` git clone https://github.com/Calamari-OCR/calamari @@ -4716,7 +4669,7 @@ _Libraries for optical character recognition (OCR) and text extraction from imag ``` git clone https://github.com/emedvedev/attention-ocr ``` -- [PyPi](https://pypi.org/project/aocr) (📥 190 / month · ⏱️ 19.04.2019): +- [PyPi](https://pypi.org/project/aocr) (📥 210 / month · ⏱️ 19.04.2019): ``` pip install aocr ``` @@ -4775,46 +4728,46 @@ _Libraries for data batch- and stream-processing, workflow automation, job sched _Libraries that provide capabilities to distribute and parallelize machine learning tasks across large-scale compute infrastructure._ -
Ray (🥇44 · ⭐ 29K) - Ray is a unified framework for scaling AI and Python applications. Ray.. Apache-2 +
Ray (🥇45 · ⭐ 29K) - Ray is a unified framework for scaling AI and Python applications. Ray.. Apache-2 -- [GitHub](https://github.com/ray-project/ray) (👨‍💻 950 · 🔀 4.9K · 📥 130 · 📦 13K · 📋 16K - 21% open · ⏱️ 30.11.2023): +- [GitHub](https://github.com/ray-project/ray) (👨‍💻 950 · 🔀 5K · 📥 130 · 📦 13K · 📋 16K - 21% open · ⏱️ 07.12.2023): ``` git clone https://github.com/ray-project/ray ``` -- [PyPi](https://pypi.org/project/ray) (📥 2.5M / month · 📦 440 · ⏱️ 03.11.2023): +- [PyPi](https://pypi.org/project/ray) (📥 2.6M / month · 📦 440 · ⏱️ 04.12.2023): ``` pip install ray ``` -- [Conda](https://anaconda.org/conda-forge/ray-tune) (📥 180K · ⏱️ 21.11.2023): +- [Conda](https://anaconda.org/conda-forge/ray-tune) (📥 180K · ⏱️ 05.12.2023): ``` conda install -c conda-forge ray-tune ```
dask (🥇43 · ⭐ 12K) - Parallel computing with task scheduling. BSD-3 -- [GitHub](https://github.com/dask/dask) (👨‍💻 590 · 🔀 1.7K · 📦 55K · 📋 5.1K - 19% open · ⏱️ 28.11.2023): +- [GitHub](https://github.com/dask/dask) (👨‍💻 590 · 🔀 1.7K · 📦 55K · 📋 5.1K - 20% open · ⏱️ 06.12.2023): ``` git clone https://github.com/dask/dask ``` -- [PyPi](https://pypi.org/project/dask) (📥 6.7M / month · 📦 3.1K · ⏱️ 10.11.2023): +- [PyPi](https://pypi.org/project/dask) (📥 6.6M / month · 📦 3.1K · ⏱️ 01.12.2023): ``` pip install dask ``` -- [Conda](https://anaconda.org/conda-forge/dask) (📥 11M · ⏱️ 10.11.2023): +- [Conda](https://anaconda.org/conda-forge/dask) (📥 11M · ⏱️ 02.12.2023): ``` conda install -c conda-forge dask ```
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DeepSpeed (🥇41 · ⭐ 30K) - DeepSpeed is a deep learning optimization library that makes.. Apache-2 +
DeepSpeed (🥇40 · ⭐ 30K · 📉) - DeepSpeed is a deep learning optimization library that.. Apache-2 -- [GitHub](https://github.com/microsoft/DeepSpeed) (👨‍💻 270 · 🔀 3.6K · 📦 4.9K · 📋 2.3K - 36% open · ⏱️ 30.11.2023): +- [GitHub](https://github.com/microsoft/DeepSpeed) (👨‍💻 270 · 🔀 3.6K · 📦 5K · 📋 2.3K - 37% open · ⏱️ 05.12.2023): ``` git clone https://github.com/microsoft/DeepSpeed ``` -- [PyPi](https://pypi.org/project/deepspeed) (📥 420K / month · 📦 86 · ⏱️ 13.11.2023): +- [PyPi](https://pypi.org/project/deepspeed) (📥 400K / month · 📦 87 · ⏱️ 01.12.2023): ``` pip install deepspeed ``` @@ -4825,52 +4778,40 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
dask.distributed (🥇40 · ⭐ 1.5K) - A distributed task scheduler for Dask. BSD-3 -- [GitHub](https://github.com/dask/distributed) (👨‍💻 320 · 🔀 700 · 📦 32K · 📋 3.7K - 38% open · ⏱️ 29.11.2023): +- [GitHub](https://github.com/dask/distributed) (👨‍💻 320 · 🔀 710 · 📦 32K · 📋 3.7K - 39% open · ⏱️ 05.12.2023): ``` git clone https://github.com/dask/distributed ``` -- [PyPi](https://pypi.org/project/distributed) (📥 4M / month · 📦 1.3K · ⏱️ 10.11.2023): +- [PyPi](https://pypi.org/project/distributed) (📥 3.8M / month · 📦 1.3K · ⏱️ 01.12.2023): ``` pip install distributed ``` -- [Conda](https://anaconda.org/conda-forge/distributed) (📥 13M · ⏱️ 10.11.2023): +- [Conda](https://anaconda.org/conda-forge/distributed) (📥 13M · ⏱️ 02.12.2023): ``` conda install -c conda-forge distributed ```
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horovod (🥈36 · ⭐ 14K) - Distributed training framework for TensorFlow, Keras, PyTorch, and.. Apache-2 - -- [GitHub](https://github.com/horovod/horovod) (👨‍💻 170 · 🔀 2.2K · 📦 1K · 📋 2.2K - 16% open · ⏱️ 18.09.2023): - - ``` - git clone https://github.com/horovod/horovod - ``` -- [PyPi](https://pypi.org/project/horovod) (📥 57K / month · 📦 36 · ⏱️ 12.06.2023): - ``` - pip install horovod - ``` -
H2O-3 (🥈36 · ⭐ 6.6K) - H2O is an Open Source, Distributed, Fast & Scalable Machine Learning.. Apache-2 -- [GitHub](https://github.com/h2oai/h2o-3) (👨‍💻 250 · 🔀 2K · 📦 21 · 📋 9.2K - 29% open · ⏱️ 28.11.2023): +- [GitHub](https://github.com/h2oai/h2o-3) (👨‍💻 250 · 🔀 2K · 📦 21 · 📋 9.2K - 29% open · ⏱️ 07.12.2023): ``` git clone https://github.com/h2oai/h2o-3 ``` -- [PyPi](https://pypi.org/project/h2o) (📥 390K / month · 📦 81 · ⏱️ 08.11.2023): +- [PyPi](https://pypi.org/project/h2o) (📥 410K / month · 📦 81 · ⏱️ 08.11.2023): ``` pip install h2o ```
BigDL (🥈36 · ⭐ 4.6K) - Accelerate LLM with low-bit (FP4 / INT4 / FP8 / INT8) optimizations.. Apache-2 -- [GitHub](https://github.com/intel-analytics/BigDL) (👨‍💻 190 · 🔀 1.2K · 📥 48 · 📦 46 · 📋 2.2K - 40% open · ⏱️ 30.11.2023): +- [GitHub](https://github.com/intel-analytics/BigDL) (👨‍💻 190 · 🔀 1.2K · 📥 57 · 📦 46 · 📋 2.2K - 40% open · ⏱️ 07.12.2023): ``` git clone https://github.com/intel-analytics/BigDL ``` -- [PyPi](https://pypi.org/project/bigdl) (📥 3.6K / month · 📦 1 · ⏱️ 29.11.2023): +- [PyPi](https://pypi.org/project/bigdl) (📥 5.7K / month · 📦 1 · ⏱️ 07.12.2023): ``` pip install bigdl ``` @@ -4885,23 +4826,35 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
metrics (🥈36 · ⭐ 1.7K) - Torchmetrics - Machine learning metrics for distributed,.. Apache-2 -- [GitHub](https://github.com/Lightning-AI/torchmetrics) (👨‍💻 220 · 🔀 330 · 📥 4.3K · 📦 18K · 📋 730 - 6% open · ⏱️ 30.11.2023): +- [GitHub](https://github.com/Lightning-AI/torchmetrics) (👨‍💻 220 · 🔀 340 · 📥 4.3K · 📦 18K · 📋 740 - 6% open · ⏱️ 04.12.2023): ``` git clone https://github.com/Lightning-AI/metrics ``` -- [PyPi](https://pypi.org/project/metrics) (📥 6.5K / month · 📦 13 · ⏱️ 28.04.2018): +- [PyPi](https://pypi.org/project/metrics) (📥 5.7K / month · 📦 13 · ⏱️ 28.04.2018): ``` pip install metrics ``` -- [Conda](https://anaconda.org/conda-forge/torchmetrics) (📥 1.2M · ⏱️ 25.09.2023): +- [Conda](https://anaconda.org/conda-forge/torchmetrics) (📥 1.2M · ⏱️ 01.12.2023): ``` conda install -c conda-forge torchmetrics ```
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ColossalAI (🥈34 · ⭐ 35K) - Making large AI models cheaper, faster and more accessible. Apache-2 +
horovod (🥈35 · ⭐ 14K) - Distributed training framework for TensorFlow, Keras, PyTorch, and.. Apache-2 + +- [GitHub](https://github.com/horovod/horovod) (👨‍💻 170 · 🔀 2.2K · 📦 1.1K · 📋 2.2K - 16% open · ⏱️ 18.09.2023): + + ``` + git clone https://github.com/horovod/horovod + ``` +- [PyPi](https://pypi.org/project/horovod) (📥 58K / month · 📦 36 · ⏱️ 12.06.2023): + ``` + pip install horovod + ``` +
+
ColossalAI (🥈33 · ⭐ 36K) - Making large AI models cheaper, faster and more accessible. Apache-2 -- [GitHub](https://github.com/hpcaitech/ColossalAI) (👨‍💻 160 · 🔀 4K · 📦 280 · 📋 1.5K - 21% open · ⏱️ 30.11.2023): +- [GitHub](https://github.com/hpcaitech/ColossalAI) (👨‍💻 160 · 🔀 4K · 📦 280 · 📋 1.5K - 21% open · ⏱️ 07.12.2023): ``` git clone https://github.com/hpcaitech/colossalai @@ -4909,12 +4862,12 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
SynapseML (🥈30 · ⭐ 4.9K) - Simple and Distributed Machine Learning. MIT -- [GitHub](https://github.com/microsoft/SynapseML) (👨‍💻 120 · 🔀 820 · 📋 720 - 44% open · ⏱️ 28.11.2023): +- [GitHub](https://github.com/microsoft/SynapseML) (👨‍💻 120 · 🔀 820 · 📋 720 - 45% open · ⏱️ 05.12.2023): ``` git clone https://github.com/microsoft/SynapseML ``` -- [PyPi](https://pypi.org/project/synapseml) (📥 380K / month · 📦 3 · ⏱️ 27.11.2023): +- [PyPi](https://pypi.org/project/synapseml) (📥 360K / month · 📦 3 · ⏱️ 27.11.2023): ``` pip install synapseml ``` @@ -4926,7 +4879,7 @@ _Libraries that provide capabilities to distribute and parallelize machine learn ``` git clone https://github.com/facebookresearch/fairscale ``` -- [PyPi](https://pypi.org/project/fairscale) (📥 430K / month · 📦 58 · ⏱️ 11.12.2022): +- [PyPi](https://pypi.org/project/fairscale) (📥 430K / month · 📦 66 · ⏱️ 11.12.2022): ``` pip install fairscale ``` @@ -4935,30 +4888,30 @@ _Libraries that provide capabilities to distribute and parallelize machine learn conda install -c conda-forge fairscale ```
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mpi4py (🥈29 · ⭐ 710) - Python bindings for MPI. BSD-2 +
mpi4py (🥈29 · ⭐ 720) - Python bindings for MPI. BSD-2 -- [GitHub](https://github.com/mpi4py/mpi4py) (👨‍💻 26 · 🔀 110 · 📥 19K · 📋 140 - 8% open · ⏱️ 27.11.2023): +- [GitHub](https://github.com/mpi4py/mpi4py) (👨‍💻 26 · 🔀 110 · 📥 19K · 📋 140 - 8% open · ⏱️ 07.12.2023): ``` git clone https://github.com/mpi4py/mpi4py ``` -- [PyPi](https://pypi.org/project/mpi4py) (📥 200K / month · 📦 720 · ⏱️ 04.10.2023): +- [PyPi](https://pypi.org/project/mpi4py) (📥 190K / month · 📦 720 · ⏱️ 04.10.2023): ``` pip install mpi4py ``` -- [Conda](https://anaconda.org/conda-forge/mpi4py) (📥 2.2M · ⏱️ 17.10.2023): +- [Conda](https://anaconda.org/conda-forge/mpi4py) (📥 2.3M · ⏱️ 17.10.2023): ``` conda install -c conda-forge mpi4py ```
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Submit it (🥈28 · ⭐ 990) - Python 3.8+ toolbox for submitting jobs to Slurm. MIT +
Submit it (🥉28 · ⭐ 1K) - Python 3.8+ toolbox for submitting jobs to Slurm. MIT -- [GitHub](https://github.com/facebookincubator/submitit) (👨‍💻 23 · 🔀 110 · 📦 1.8K · 📋 110 - 32% open · ⏱️ 09.11.2023): +- [GitHub](https://github.com/facebookincubator/submitit) (👨‍💻 23 · 🔀 110 · 📦 1.9K · 📋 110 - 32% open · ⏱️ 09.11.2023): ``` git clone https://github.com/facebookincubator/submitit ``` -- [PyPi](https://pypi.org/project/submitit) (📥 180K / month · 📦 17 · ⏱️ 09.11.2023): +- [PyPi](https://pypi.org/project/submitit) (📥 200K / month · 📦 18 · ⏱️ 09.11.2023): ``` pip install submitit ``` @@ -4967,14 +4920,14 @@ _Libraries that provide capabilities to distribute and parallelize machine learn conda install -c conda-forge submitit ```
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dask-ml (🥈28 · ⭐ 870 · 💤) - Scalable Machine Learning with Dask. BSD-3 +
dask-ml (🥉28 · ⭐ 870 · 💤) - Scalable Machine Learning with Dask. BSD-3 -- [GitHub](https://github.com/dask/dask-ml) (👨‍💻 77 · 🔀 240 · 📦 900 · 📋 520 - 51% open · ⏱️ 24.03.2023): +- [GitHub](https://github.com/dask/dask-ml) (👨‍💻 77 · 🔀 240 · 📦 910 · 📋 520 - 51% open · ⏱️ 24.03.2023): ``` git clone https://github.com/dask/dask-ml ``` -- [PyPi](https://pypi.org/project/dask-ml) (📥 160K / month · 📦 73 · ⏱️ 06.05.2020): +- [PyPi](https://pypi.org/project/dask-ml) (📥 160K / month · 📦 73 · ⏱️ 24.03.2023): ``` pip install dask-ml ``` @@ -4990,7 +4943,7 @@ _Libraries that provide capabilities to distribute and parallelize machine learn ``` git clone https://github.com/yahoo/TensorFlowOnSpark ``` -- [PyPi](https://pypi.org/project/tensorflowonspark) (📥 550K / month · 📦 5 · ⏱️ 21.04.2022): +- [PyPi](https://pypi.org/project/tensorflowonspark) (📥 580K / month · 📦 5 · ⏱️ 21.04.2022): ``` pip install tensorflowonspark ``` @@ -4999,14 +4952,14 @@ _Libraries that provide capabilities to distribute and parallelize machine learn conda install -c conda-forge tensorflowonspark ```
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petastorm (🥉27 · ⭐ 1.7K · 💤) - Petastorm library enables single machine or distributed.. Apache-2 +
petastorm (🥉26 · ⭐ 1.7K) - Petastorm library enables single machine or distributed training.. Apache-2 -- [GitHub](https://github.com/uber/petastorm) (👨‍💻 49 · 🔀 280 · 📥 430 · 📦 140 · 📋 320 - 53% open · ⏱️ 03.02.2023): +- [GitHub](https://github.com/uber/petastorm) (👨‍💻 50 · 🔀 280 · 📥 430 · 📦 140 · 📋 320 - 53% open · ⏱️ 02.12.2023): ``` git clone https://github.com/uber/petastorm ``` -- [PyPi](https://pypi.org/project/petastorm) (📥 32K / month · 📦 8 · ⏱️ 03.02.2023): +- [PyPi](https://pypi.org/project/petastorm) (📥 31K / month · 📦 8 · ⏱️ 03.02.2023): ``` pip install petastorm ``` @@ -5018,31 +4971,31 @@ _Libraries that provide capabilities to distribute and parallelize machine learn ``` git clone https://github.com/tensorflow/mesh ``` -- [PyPi](https://pypi.org/project/mesh-tensorflow) (📥 54K / month · 📦 33 · ⏱️ 15.05.2022): +- [PyPi](https://pypi.org/project/mesh-tensorflow) (📥 44K / month · 📦 30 · ⏱️ 15.05.2022): ``` pip install mesh-tensorflow ```
Hivemind (🥉25 · ⭐ 1.7K) - Decentralized deep learning in PyTorch. Built to train models on.. MIT -- [GitHub](https://github.com/learning-at-home/hivemind) (👨‍💻 29 · 🔀 120 · 📦 78 · 📋 160 - 37% open · ⏱️ 25.11.2023): +- [GitHub](https://github.com/learning-at-home/hivemind) (👨‍💻 29 · 🔀 120 · 📦 78 · 📋 160 - 37% open · ⏱️ 04.12.2023): ``` git clone https://github.com/learning-at-home/hivemind ``` -- [PyPi](https://pypi.org/project/hivemind) (📥 3.3K / month · 📦 6 · ⏱️ 31.08.2023): +- [PyPi](https://pypi.org/project/hivemind) (📥 3.7K / month · 📦 7 · ⏱️ 31.08.2023): ``` pip install hivemind ```
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MMLSpark (🥉23 · ⭐ 4.9K) - Simple and Distributed Machine Learning. MIT +
MMLSpark (🥉24 · ⭐ 4.9K) - Simple and Distributed Machine Learning. MIT -- [GitHub](https://github.com/microsoft/SynapseML) (👨‍💻 120 · 🔀 820 · 📋 720 - 44% open · ⏱️ 28.11.2023): +- [GitHub](https://github.com/microsoft/SynapseML) (👨‍💻 120 · 🔀 820 · 📋 720 - 45% open · ⏱️ 05.12.2023): ``` git clone https://github.com/microsoft/SynapseML ``` -- [PyPi](https://pypi.org/project/mmlspark) (📥 1 / month · ⏱️ 18.03.2020): +- [PyPi](https://pypi.org/project/mmlspark) (⏱️ 18.03.2020): ``` pip install mmlspark ``` @@ -5058,38 +5011,38 @@ _Libraries that provide capabilities to distribute and parallelize machine learn ``` conda install -c nusdbsystem singa ``` -- [Docker Hub](https://hub.docker.com/r/apache/singa) (📥 4.7K · ⭐ 4 · ⏱️ 31.05.2022): +- [Docker Hub](https://hub.docker.com/r/apache/singa) (📥 4.8K · ⭐ 4 · ⏱️ 31.05.2022): ``` docker pull apache/singa ```
analytics-zoo (🥉23 · ⭐ 2.6K) - Distributed Tensorflow, Keras and PyTorch on Apache.. Apache-2 -- [GitHub](https://github.com/intel-analytics/analytics-zoo) (👨‍💻 110 · 🔀 730 · 📦 4 · 📋 1.4K - 38% open · ⏱️ 06.09.2023): +- [GitHub](https://github.com/intel-analytics/analytics-zoo) (👨‍💻 110 · 🔀 730 · 📦 4 · 📋 1.4K - 38% open · ⏱️ 01.12.2023): ``` git clone https://github.com/intel-analytics/analytics-zoo ``` -- [PyPi](https://pypi.org/project/analytics-zoo) (📥 190 / month · 📦 1 · ⏱️ 22.08.2022): +- [PyPi](https://pypi.org/project/analytics-zoo) (📥 260 / month · 📦 1 · ⏱️ 22.08.2022): ``` pip install analytics-zoo ```
launchpad (🥉21 · ⭐ 300) - Launchpad is a library that simplifies writing distributed.. Apache-2 -- [GitHub](https://github.com/google-deepmind/launchpad) (👨‍💻 28 · 🔀 33 · 📦 75 · 📋 39 - 46% open · ⏱️ 22.08.2023): +- [GitHub](https://github.com/google-deepmind/launchpad) (👨‍💻 28 · 🔀 33 · 📦 76 · 📋 39 - 46% open · ⏱️ 22.08.2023): ``` git clone https://github.com/deepmind/launchpad ``` -- [PyPi](https://pypi.org/project/dm-launchpad) (📥 1.6K / month · 📦 1 · ⏱️ 28.04.2022): +- [PyPi](https://pypi.org/project/dm-launchpad) (📥 1.7K / month · 📦 1 · ⏱️ 28.04.2022): ``` pip install dm-launchpad ```
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mesh-transformer-jax (🥉18 · ⭐ 6.1K · 💤) - Model parallel transformers in JAX and Haiku. Apache-2 +
mesh-transformer-jax (🥉18 · ⭐ 6.2K · 💤) - Model parallel transformers in JAX and Haiku. Apache-2 -- [GitHub](https://github.com/kingoflolz/mesh-transformer-jax) (👨‍💻 23 · 🔀 870 · 📦 20 · 📋 200 - 22% open · ⏱️ 12.01.2023): +- [GitHub](https://github.com/kingoflolz/mesh-transformer-jax) (👨‍💻 23 · 🔀 880 · 📦 20 · 📋 200 - 22% open · ⏱️ 12.01.2023): ``` git clone https://github.com/kingoflolz/mesh-transformer-jax @@ -5107,13 +5060,13 @@ _Libraries that provide capabilities to distribute and parallelize machine learn - DEAP (🥈33 · ⭐ 5.4K) - Distributed Evolutionary Algorithms in Python. ❗️LGPL-3.0 - ipyparallel (🥈29 · ⭐ 2.5K) - IPython Parallel: Interactive Parallel Computing in.. ❗Unlicensed -- Elephas (🥈28 · ⭐ 1.6K · 💀) - Distributed Deep learning with Keras & Spark. MIT keras +- Elephas (🥈29 · ⭐ 1.6K · 💀) - Distributed Deep learning with Keras & Spark. MIT keras - BytePS (🥉21 · ⭐ 3.5K · 💀) - A high performance and generic framework for distributed DNN.. Apache-2 - somoclu (🥉21 · ⭐ 260 · 💀) - Massively parallel self-organizing maps: accelerate training on.. MIT - TensorFrames (🥉20 · ⭐ 750 · 💀) - [DEPRECATED] Tensorflow wrapper for DataFrames on.. Apache-2 - sk-dist (🥉20 · ⭐ 290 · 💤) - Distributed scikit-learn meta-estimators in PySpark. Apache-2 +- bluefog (🥉18 · ⭐ 290 · 💤) - Distributed and decentralized training framework for PyTorch.. Apache-2 - Fiber (🥉17 · ⭐ 1K · 💀) - Distributed Computing for AI Made Simple. Apache-2 -- bluefog (🥉17 · ⭐ 290 · 💤) - Distributed and decentralized training framework for PyTorch.. Apache-2 - parallelformers (🥉16 · ⭐ 730 · 💀) - Parallelformers: An Efficient Model Parallelization.. Apache-2 - LazyCluster (🥉13 · ⭐ 49 · 💀) - Distributed machine learning made simple. Apache-2 - autodist (🥉11 · ⭐ 130 · 💀) - Simple Distributed Deep Learning on TensorFlow. Apache-2 @@ -5126,14 +5079,14 @@ _Libraries that provide capabilities to distribute and parallelize machine learn _Libraries for hyperparameter optimization, automl and neural architecture search._ -
Ax (🥇34 · ⭐ 2.2K) - Adaptive Experimentation Platform. MIT +
Ax (🥇35 · ⭐ 2.2K) - Adaptive Experimentation Platform. MIT -- [GitHub](https://github.com/facebook/Ax) (👨‍💻 160 · 🔀 280 · 📦 590 · 📋 620 - 8% open · ⏱️ 30.11.2023): +- [GitHub](https://github.com/facebook/Ax) (👨‍💻 160 · 🔀 280 · 📦 590 · 📋 630 - 8% open · ⏱️ 07.12.2023): ``` git clone https://github.com/facebook/Ax ``` -- [PyPi](https://pypi.org/project/ax-platform) (📥 100K / month · 📦 28 · ⏱️ 13.11.2023): +- [PyPi](https://pypi.org/project/ax-platform) (📥 91K / month · 📦 28 · ⏱️ 13.11.2023): ``` pip install ax-platform ``` @@ -5144,7 +5097,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
NNI (🥇33 · ⭐ 13K) - An open source AutoML toolkit for automate machine learning lifecycle,.. MIT -- [GitHub](https://github.com/microsoft/nni) (👨‍💻 190 · 🔀 1.8K · 📦 510 · 📋 2K - 16% open · ⏱️ 26.10.2023): +- [GitHub](https://github.com/microsoft/nni) (👨‍💻 190 · 🔀 1.8K · 📦 520 · 📋 2K - 16% open · ⏱️ 26.10.2023): ``` git clone https://github.com/microsoft/nni @@ -5156,12 +5109,12 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
Hyperopt (🥇33 · ⭐ 6.9K) - Distributed Asynchronous Hyperparameter Optimization in Python. BSD-3 -- [GitHub](https://github.com/hyperopt/hyperopt) (👨‍💻 100 · 🔀 1K · 📦 13K · 📋 710 - 49% open · ⏱️ 29.09.2023): +- [GitHub](https://github.com/hyperopt/hyperopt) (👨‍💻 100 · 🔀 1K · 📦 13K · 📋 710 - 48% open · ⏱️ 29.09.2023): ``` git clone https://github.com/hyperopt/hyperopt ``` -- [PyPi](https://pypi.org/project/hyperopt) (📥 2.2M / month · 📦 500 · ⏱️ 17.11.2021): +- [PyPi](https://pypi.org/project/hyperopt) (📥 2.1M / month · 📦 500 · ⏱️ 17.11.2021): ``` pip install hyperopt ``` @@ -5170,34 +5123,18 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc conda install -c conda-forge hyperopt ```
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featuretools (🥇33 · ⭐ 6.9K) - An open source python library for automated feature engineering. BSD-3 - -- [GitHub](https://github.com/alteryx/featuretools) (👨‍💻 71 · 🔀 850 · 📦 1.5K · 📋 970 - 17% open · ⏱️ 26.10.2023): - - ``` - git clone https://github.com/alteryx/featuretools - ``` -- [PyPi](https://pypi.org/project/featuretools) (📥 54K / month · 📦 77 · ⏱️ 26.10.2023): - ``` - pip install featuretools - ``` -- [Conda](https://anaconda.org/conda-forge/featuretools) (📥 170K · ⏱️ 27.10.2023): - ``` - conda install -c conda-forge featuretools - ``` -
BoTorch (🥇33 · ⭐ 2.8K) - Bayesian optimization in PyTorch. MIT -- [GitHub](https://github.com/pytorch/botorch) (👨‍💻 100 · 🔀 340 · 📦 740 · 📋 450 - 14% open · ⏱️ 27.11.2023): +- [GitHub](https://github.com/pytorch/botorch) (👨‍💻 110 · 🔀 340 · 📦 760 · 📋 460 - 14% open · ⏱️ 06.12.2023): ``` git clone https://github.com/pytorch/botorch ``` -- [PyPi](https://pypi.org/project/botorch) (📥 160K / month · 📦 37 · ⏱️ 06.11.2023): +- [PyPi](https://pypi.org/project/botorch) (📥 150K / month · 📦 37 · ⏱️ 06.11.2023): ``` pip install botorch ``` -- [Conda](https://anaconda.org/conda-forge/botorch) (📥 94K · ⏱️ 07.11.2023): +- [Conda](https://anaconda.org/conda-forge/botorch) (📥 95K · ⏱️ 07.11.2023): ``` conda install -c conda-forge botorch ``` @@ -5209,7 +5146,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/keras-team/keras-tuner ``` -- [PyPi](https://pypi.org/project/keras-tuner) (📥 170K / month · 📦 60 · ⏱️ 07.11.2023): +- [PyPi](https://pypi.org/project/keras-tuner) (📥 160K / month · 📦 62 · ⏱️ 07.11.2023): ``` pip install keras-tuner ``` @@ -5218,9 +5155,25 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc conda install -c conda-forge keras-tuner ```
+
featuretools (🥈32 · ⭐ 6.9K) - An open source python library for automated feature engineering. BSD-3 + +- [GitHub](https://github.com/alteryx/featuretools) (👨‍💻 71 · 🔀 850 · 📦 1.5K · 📋 970 - 17% open · ⏱️ 06.12.2023): + + ``` + git clone https://github.com/alteryx/featuretools + ``` +- [PyPi](https://pypi.org/project/featuretools) (📥 52K / month · 📦 78 · ⏱️ 26.10.2023): + ``` + pip install featuretools + ``` +- [Conda](https://anaconda.org/conda-forge/featuretools) (📥 170K · ⏱️ 27.10.2023): + ``` + conda install -c conda-forge featuretools + ``` +
AutoKeras (🥈31 · ⭐ 9K) - AutoML library for deep learning. Apache-2 -- [GitHub](https://github.com/keras-team/autokeras) (👨‍💻 140 · 🔀 1.4K · 📥 18K · 📦 600 · 📋 890 - 14% open · ⏱️ 02.10.2023): +- [GitHub](https://github.com/keras-team/autokeras) (👨‍💻 140 · 🔀 1.4K · 📥 18K · 📦 610 · 📋 890 - 14% open · ⏱️ 02.10.2023): ``` git clone https://github.com/keras-team/autokeras @@ -5246,26 +5199,26 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc conda install -c conda-forge auto-sklearn ```
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Bayesian Optimization (🥈31 · ⭐ 7.1K) - A Python implementation of global optimization with.. MIT +
Bayesian Optimization (🥈31 · ⭐ 7.2K) - A Python implementation of global optimization with.. MIT - [GitHub](https://github.com/bayesian-optimization/BayesianOptimization) (👨‍💻 41 · 🔀 1.5K · 📥 140 · 📦 2.2K · 📋 320 - 3% open · ⏱️ 14.07.2023): ``` git clone https://github.com/fmfn/BayesianOptimization ``` -- [PyPi](https://pypi.org/project/bayesian-optimization) (📥 220K / month · 📦 120 · ⏱️ 25.04.2023): +- [PyPi](https://pypi.org/project/bayesian-optimization) (📥 240K / month · 📦 120 · ⏱️ 25.04.2023): ``` pip install bayesian-optimization ```
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nevergrad (🥈31 · ⭐ 3.7K) - A Python toolbox for performing gradient-free optimization. MIT +
nevergrad (🥈31 · ⭐ 3.8K) - A Python toolbox for performing gradient-free optimization. MIT -- [GitHub](https://github.com/facebookresearch/nevergrad) (👨‍💻 51 · 🔀 340 · 📦 570 · 📋 290 - 41% open · ⏱️ 27.11.2023): +- [GitHub](https://github.com/facebookresearch/nevergrad) (👨‍💻 51 · 🔀 340 · 📦 580 · 📋 290 - 41% open · ⏱️ 07.12.2023): ``` git clone https://github.com/facebookresearch/nevergrad ``` -- [PyPi](https://pypi.org/project/nevergrad) (📥 81K / month · 📦 30 · ⏱️ 19.11.2023): +- [PyPi](https://pypi.org/project/nevergrad) (📥 80K / month · 📦 30 · ⏱️ 19.11.2023): ``` pip install nevergrad ``` @@ -5276,28 +5229,28 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
AutoGluon (🥈29 · ⭐ 6.5K) - AutoGluon: AutoML for Image, Text, Time Series, and.. Apache-2 -- [GitHub](https://github.com/autogluon/autogluon) (👨‍💻 110 · 🔀 800 · 📦 2 · 📋 1.1K - 23% open · ⏱️ 30.11.2023): +- [GitHub](https://github.com/autogluon/autogluon) (👨‍💻 110 · 🔀 800 · 📦 2 · 📋 1.1K - 23% open · ⏱️ 01.12.2023): ``` git clone https://github.com/autogluon/autogluon ``` -- [PyPi](https://pypi.org/project/autogluon) (📥 48K / month · 📦 7 · ⏱️ 29.11.2023): +- [PyPi](https://pypi.org/project/autogluon) (📥 57K / month · 📦 7 · ⏱️ 07.12.2023): ``` pip install autogluon ``` -- [Docker Hub](https://hub.docker.com/r/autogluon/autogluon) (📥 4.7K · ⭐ 15 · ⏱️ 26.07.2023): +- [Docker Hub](https://hub.docker.com/r/autogluon/autogluon) (📥 5K · ⭐ 17 · ⏱️ 26.07.2023): ``` docker pull autogluon/autogluon ```
mljar-supervised (🥈29 · ⭐ 2.8K) - Python package for AutoML on Tabular Data with Feature.. MIT -- [GitHub](https://github.com/mljar/mljar-supervised) (👨‍💻 23 · 🔀 370 · 📦 96 · 📋 590 - 22% open · ⏱️ 30.11.2023): +- [GitHub](https://github.com/mljar/mljar-supervised) (👨‍💻 23 · 🔀 370 · 📦 97 · 📋 590 - 22% open · ⏱️ 01.12.2023): ``` git clone https://github.com/mljar/mljar-supervised ``` -- [PyPi](https://pypi.org/project/mljar-supervised) (📥 5.6K / month · 📦 2 · ⏱️ 26.09.2023): +- [PyPi](https://pypi.org/project/mljar-supervised) (📥 5.8K / month · 📦 2 · ⏱️ 26.09.2023): ``` pip install mljar-supervised ``` @@ -5313,7 +5266,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/maxpumperla/hyperas ``` -- [PyPi](https://pypi.org/project/hyperas) (📥 10K / month · 📦 24 · ⏱️ 28.02.2019): +- [PyPi](https://pypi.org/project/hyperas) (📥 9.6K / month · 📦 24 · ⏱️ 28.02.2019): ``` pip install hyperas ``` @@ -5332,24 +5285,24 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
FEDOT (🥈24 · ⭐ 570) - Automated modeling and machine learning framework FEDOT. BSD-3 -- [GitHub](https://github.com/aimclub/FEDOT) (👨‍💻 30 · 🔀 79 · 📦 43 · 📋 500 - 17% open · ⏱️ 23.11.2023): +- [GitHub](https://github.com/aimclub/FEDOT) (👨‍💻 30 · 🔀 80 · 📦 43 · 📋 510 - 17% open · ⏱️ 06.12.2023): ``` git clone https://github.com/nccr-itmo/FEDOT ``` -- [PyPi](https://pypi.org/project/fedot) (📥 870 / month · 📦 1 · ⏱️ 25.07.2023): +- [PyPi](https://pypi.org/project/fedot) (📥 780 / month · 📦 1 · ⏱️ 25.07.2023): ``` pip install fedot ```
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featurewiz (🥈24 · ⭐ 490) - Use advanced feature engineering strategies and select best.. Apache-2 +
featurewiz (🥈24 · ⭐ 500) - Use advanced feature engineering strategies and select best.. Apache-2 -- [GitHub](https://github.com/AutoViML/featurewiz) (👨‍💻 16 · 🔀 83 · 📦 60 · ⏱️ 29.11.2023): +- [GitHub](https://github.com/AutoViML/featurewiz) (👨‍💻 16 · 🔀 85 · 📦 62 · ⏱️ 05.12.2023): ``` git clone https://github.com/AutoViML/featurewiz ``` -- [PyPi](https://pypi.org/project/featurewiz) (📥 16K / month · 📦 2 · ⏱️ 29.11.2023): +- [PyPi](https://pypi.org/project/featurewiz) (📥 14K / month · 📦 2 · ⏱️ 05.12.2023): ``` pip install featurewiz ``` @@ -5361,7 +5314,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/SimonBlanke/Hyperactive ``` -- [PyPi](https://pypi.org/project/hyperactive) (📥 4.2K / month · 📦 5 · ⏱️ 24.10.2023): +- [PyPi](https://pypi.org/project/hyperactive) (📥 3.9K / month · 📦 5 · ⏱️ 24.10.2023): ``` pip install hyperactive ``` @@ -5373,64 +5326,64 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/nidhaloff/igel ``` -- [PyPi](https://pypi.org/project/igel) (📥 260 / month · ⏱️ 19.11.2021): +- [PyPi](https://pypi.org/project/igel) (📥 160 / month · ⏱️ 19.11.2021): ``` pip install igel ```
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opytimizer (🥉19 · ⭐ 580) - Opytimizer is a Python library consisting of meta-heuristic.. Apache-2 +
AlphaPy (🥉19 · ⭐ 980) - Automated Machine Learning [AutoML] with Python, scikit-learn, Keras,.. Apache-2 -- [GitHub](https://github.com/gugarosa/opytimizer) (👨‍💻 4 · 🔀 38 · 📦 16 · ⏱️ 22.09.2023): +- [GitHub](https://github.com/ScottfreeLLC/AlphaPy) (👨‍💻 5 · 🔀 180 · 📦 4 · 📋 42 - 30% open · ⏱️ 05.11.2023): ``` - git clone https://github.com/gugarosa/opytimizer + git clone https://github.com/ScottfreeLLC/AlphaPy ``` -- [PyPi](https://pypi.org/project/opytimizer) (📥 270 / month · ⏱️ 04.05.2022): +- [PyPi](https://pypi.org/project/alphapy) (📥 150 / month · ⏱️ 29.08.2020): ``` - pip install opytimizer + pip install alphapy ```
Auto ViML (🥉19 · ⭐ 470) - Automatically Build Multiple ML Models with a Single Line of Code... Apache-2 -- [GitHub](https://github.com/AutoViML/Auto_ViML) (👨‍💻 8 · 🔀 95 · 📦 23 · 📋 32 - 9% open · ⏱️ 21.05.2023): +- [GitHub](https://github.com/AutoViML/Auto_ViML) (👨‍💻 8 · 🔀 95 · 📦 23 · 📋 32 - 9% open · ⏱️ 03.12.2023): ``` git clone https://github.com/AutoViML/Auto_ViML ``` -- [PyPi](https://pypi.org/project/autoviml) (📥 630 / month · 📦 2 · ⏱️ 01.06.2022): +- [PyPi](https://pypi.org/project/autoviml) (📥 1K / month · 📦 2 · ⏱️ 01.06.2022): ``` pip install autoviml ```
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AlphaPy (🥉18 · ⭐ 980 · 📉) - Automated Machine Learning [AutoML] with Python, scikit-learn,.. Apache-2 +
opytimizer (🥉18 · ⭐ 580) - Opytimizer is a Python library consisting of meta-heuristic.. Apache-2 -- [GitHub](https://github.com/ScottfreeLLC/AlphaPy) (👨‍💻 5 · 🔀 180 · 📦 4 · 📋 42 - 30% open · ⏱️ 05.11.2023): +- [GitHub](https://github.com/gugarosa/opytimizer) (👨‍💻 4 · 🔀 38 · 📦 16 · ⏱️ 22.09.2023): ``` - git clone https://github.com/ScottfreeLLC/AlphaPy + git clone https://github.com/gugarosa/opytimizer ``` -- [PyPi](https://pypi.org/project/alphapy) (📥 130 / month · ⏱️ 29.08.2020): +- [PyPi](https://pypi.org/project/opytimizer) (📥 310 / month · ⏱️ 04.05.2022): ``` - pip install alphapy + pip install opytimizer ```
Show 31 hidden projects... - Optuna (🥇39 · ⭐ 9K) - A hyperparameter optimization framework. ❗Unlicensed +- TPOT (🥇33 · ⭐ 9.3K) - A Python Automated Machine Learning tool that optimizes machine.. ❗️LGPL-3.0 - scikit-optimize (🥇33 · ⭐ 2.7K · 💀) - Sequential model-based optimization with a.. BSD-3 -- TPOT (🥈32 · ⭐ 9.3K) - A Python Automated Machine Learning tool that optimizes machine.. ❗️LGPL-3.0 -- SMAC3 (🥈27 · ⭐ 930) - SMAC3: A Versatile Bayesian Optimization Package for.. ❗️BSD-1-Clause +- SMAC3 (🥈27 · ⭐ 940) - SMAC3: A Versatile Bayesian Optimization Package for.. ❗️BSD-1-Clause - lazypredict (🥈26 · ⭐ 2.3K · 💀) - Lazy Predict help build a lot of basic models without much.. MIT - Talos (🥈25 · ⭐ 1.6K · 💀) - Hyperparameter Optimization for TensorFlow, Keras and PyTorch. MIT +- AdaNet (🥈24 · ⭐ 3.5K · 💀) - Fast and flexible AutoML with learning guarantees. Apache-2 - Orion (🥈24 · ⭐ 270) - Asynchronous Distributed Hyperparameter Optimization. BSD-3 -- AdaNet (🥉23 · ⭐ 3.5K · 💀) - Fast and flexible AutoML with learning guarantees. Apache-2 - auto_ml (🥉22 · ⭐ 1.6K · 💀) - [UNMAINTAINED] Automated machine learning for analytics & production. MIT - Test Tube (🥉22 · ⭐ 730 · 💀) - Python library to easily log experiments and parallelize.. MIT - HpBandSter (🥉22 · ⭐ 590 · 💀) - a distributed Hyperband implementation on Steroids. BSD-3 - optunity (🥉22 · ⭐ 410 · 💀) - optimization routines for hyperparameter tuning. BSD-3 +- lightwood (🥉22 · ⭐ 390) - Lightwood is Legos for Machine Learning. ❗️GPL-3.0 - MLBox (🥉21 · ⭐ 1.5K · 💀) - MLBox is a powerful Automated Machine Learning python library. ❗️BSD-1-Clause - Neuraxle (🥉21 · ⭐ 590 · 💀) - The worlds cleanest AutoML library - Do hyperparameter tuning.. Apache-2 -- lightwood (🥉21 · ⭐ 390) - Lightwood is Legos for Machine Learning. ❗️GPL-3.0 - Dragonfly (🥉20 · ⭐ 810 · 💀) - An open source python library for scalable Bayesian optimisation. MIT - sklearn-deap (🥉20 · ⭐ 740 · 💀) - Use evolutionary algorithms instead of gridsearch in.. MIT - Auto Tune Models (🥉18 · ⭐ 520 · 💀) - Auto Tune Models - A multi-tenant, multi-data system for.. MIT @@ -5438,14 +5391,14 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc - Sherpa (🥉18 · ⭐ 320 · 💀) - Hyperparameter optimization that enables researchers to.. ❗️GPL-3.0 - Advisor (🥉17 · ⭐ 1.5K · 💀) - Open-source implementation of Google Vizier for hyper parameters.. Apache-2 - automl-gs (🥉16 · ⭐ 1.8K · 💀) - Provide an input CSV and a target field to predict, generate a.. MIT +- Xcessiv (🥉16 · ⭐ 1.3K · 💀) - A web-based application for quick, scalable, and automated.. Apache-2 - HyperparameterHunter (🥉16 · ⭐ 700 · 💀) - Easy hyperparameter optimization and automatic result.. MIT - Parfit (🥉16 · ⭐ 200 · 💀) - A package for parallelizing the fit and flexibly scoring of.. MIT -- Xcessiv (🥉15 · ⭐ 1.3K · 💀) - A web-based application for quick, scalable, and automated.. Apache-2 - ENAS (🥉13 · ⭐ 2.7K · 💀) - PyTorch implementation of Efficient Neural Architecture Search via.. Apache-2 - Auptimizer (🥉12 · ⭐ 200 · 💀) - An automatic ML model optimization tool. ❗️GPL-3.0 -- Hypermax (🥉12 · ⭐ 110) - Better, faster hyper-parameter optimization. BSD-3 - model_search (🥉11 · ⭐ 3.3K · 💀) - AutoML algorithms for model architecture search at scale. Apache-2 - Devol (🥉11 · ⭐ 950 · 💀) - Genetic neural architecture search with Keras. MIT +- Hypermax (🥉11 · ⭐ 110) - Better, faster hyper-parameter optimization. BSD-3 - Hypertunity (🥉9 · ⭐ 140 · 💀) - A toolset for black-box hyperparameter optimisation. Apache-2

@@ -5463,7 +5416,7 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst ``` git clone https://github.com/openai/gym ``` -- [PyPi](https://pypi.org/project/gym) (📥 820K / month · 📦 2.7K · ⏱️ 04.10.2022): +- [PyPi](https://pypi.org/project/gym) (📥 920K / month · 📦 2.7K · ⏱️ 20.07.2023): ``` pip install gym ``` @@ -5474,19 +5427,19 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst
TF-Agents (🥇32 · ⭐ 2.6K) - TF-Agents: A reliable, scalable and easy to use TensorFlow.. Apache-2 -- [GitHub](https://github.com/tensorflow/agents) (👨‍💻 140 · 🔀 690 · 📦 1.3K · 📋 640 - 28% open · ⏱️ 16.11.2023): +- [GitHub](https://github.com/tensorflow/agents) (👨‍💻 140 · 🔀 710 · 📦 1.4K · 📋 640 - 28% open · ⏱️ 05.12.2023): ``` git clone https://github.com/tensorflow/agents ``` -- [PyPi](https://pypi.org/project/tf-agents) (📥 34K / month · 📦 5 · ⏱️ 03.10.2023): +- [PyPi](https://pypi.org/project/tf-agents) (📥 31K / month · 📦 5 · ⏱️ 03.10.2023): ``` pip install tf-agents ```
ViZDoom (🥇32 · ⭐ 1.6K) - Reinforcement Learning environments based on the 1993 game Doom. MIT -- [GitHub](https://github.com/Farama-Foundation/ViZDoom) (👨‍💻 53 · 🔀 370 · 📥 12K · 📦 210 · 📋 460 - 8% open · ⏱️ 05.11.2023): +- [GitHub](https://github.com/Farama-Foundation/ViZDoom) (👨‍💻 53 · 🔀 360 · 📥 12K · 📦 210 · 📋 460 - 8% open · ⏱️ 05.11.2023): ``` git clone https://github.com/mwydmuch/ViZDoom @@ -5498,12 +5451,12 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst
FinRL (🥈30 · ⭐ 8.4K) - FinRL: Financial Reinforcement Learning. MIT -- [GitHub](https://github.com/AI4Finance-Foundation/FinRL) (👨‍💻 110 · 🔀 2K · 📦 26 · 📋 650 - 27% open · ⏱️ 19.11.2023): +- [GitHub](https://github.com/AI4Finance-Foundation/FinRL) (👨‍💻 110 · 🔀 2K · 📦 26 · 📋 650 - 27% open · ⏱️ 06.12.2023): ``` git clone https://github.com/AI4Finance-Foundation/FinRL ``` -- [PyPi](https://pypi.org/project/finrl) (📥 1.4K / month · ⏱️ 08.01.2022): +- [PyPi](https://pypi.org/project/finrl) (📥 1.5K / month · ⏱️ 08.01.2022): ``` pip install finrl ``` @@ -5515,14 +5468,14 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst ``` git clone https://github.com/google/dopamine ``` -- [PyPi](https://pypi.org/project/dopamine-rl) (📥 37K / month · 📦 36 · ⏱️ 21.09.2022): +- [PyPi](https://pypi.org/project/dopamine-rl) (📥 36K / month · 📦 36 · ⏱️ 21.09.2022): ``` pip install dopamine-rl ```
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TensorLayer (🥈27 · ⭐ 7.3K · 💤) - Deep Learning and Reinforcement Learning Library for.. Apache-2 +
TensorLayer (🥈28 · ⭐ 7.3K · 💤) - Deep Learning and Reinforcement Learning Library for.. Apache-2 -- [GitHub](https://github.com/tensorlayer/TensorLayer) (👨‍💻 130 · 🔀 1.6K · 📥 1.8K · 📋 470 - 6% open · ⏱️ 18.02.2023): +- [GitHub](https://github.com/tensorlayer/TensorLayer) (👨‍💻 130 · 🔀 1.6K · 📥 1.9K · 📋 470 - 6% open · ⏱️ 18.02.2023): ``` git clone https://github.com/tensorlayer/tensorlayer @@ -5539,7 +5492,7 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst ``` git clone https://github.com/deepmind/acme ``` -- [PyPi](https://pypi.org/project/dm-acme) (📥 930 / month · 📦 3 · ⏱️ 10.02.2022): +- [PyPi](https://pypi.org/project/dm-acme) (📥 1.1K / month · 📦 3 · ⏱️ 10.02.2022): ``` pip install dm-acme ``` @@ -5555,67 +5508,67 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst ``` git clone https://github.com/tensorforce/tensorforce ``` -- [PyPi](https://pypi.org/project/tensorforce) (📥 670 / month · 📦 2 · ⏱️ 30.08.2021): +- [PyPi](https://pypi.org/project/tensorforce) (📥 660 / month · 📦 2 · ⏱️ 30.08.2021): ``` pip install tensorforce ```
-
PARL (🥉25 · ⭐ 3.1K) - A high-performance distributed training framework for Reinforcement.. Apache-2 +
garage (🥉25 · ⭐ 1.8K · 💤) - A toolkit for reproducible reinforcement learning research. MIT -- [GitHub](https://github.com/PaddlePaddle/PARL) (👨‍💻 42 · 🔀 810 · 📦 120 · 📋 500 - 21% open · ⏱️ 19.05.2023): +- [GitHub](https://github.com/rlworkgroup/garage) (👨‍💻 79 · 🔀 300 · 📦 92 · 📋 1K - 22% open · ⏱️ 04.01.2023): ``` - git clone https://github.com/PaddlePaddle/PARL + git clone https://github.com/rlworkgroup/garage ``` -- [PyPi](https://pypi.org/project/parl) (📥 630 / month · 📦 1 · ⏱️ 13.05.2022): +- [PyPi](https://pypi.org/project/garage) (📥 750 / month · 📦 2 · ⏱️ 23.03.2021): ``` - pip install parl + pip install garage ```
-
garage (🥉25 · ⭐ 1.8K · 💤) - A toolkit for reproducible reinforcement learning research. MIT +
PARL (🥉24 · ⭐ 3.1K · 💤) - A high-performance distributed training framework for.. Apache-2 -- [GitHub](https://github.com/rlworkgroup/garage) (👨‍💻 79 · 🔀 300 · 📦 90 · 📋 1K - 22% open · ⏱️ 04.01.2023): +- [GitHub](https://github.com/PaddlePaddle/PARL) (👨‍💻 42 · 🔀 810 · 📦 120 · 📋 500 - 21% open · ⏱️ 19.05.2023): ``` - git clone https://github.com/rlworkgroup/garage + git clone https://github.com/PaddlePaddle/PARL ``` -- [PyPi](https://pypi.org/project/garage) (📥 720 / month · 📦 2 · ⏱️ 23.03.2021): +- [PyPi](https://pypi.org/project/parl) (📥 740 / month · 📦 1 · ⏱️ 13.05.2022): ``` - pip install garage + pip install parl ```
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RLax (🥉25 · ⭐ 1.1K) - A library of reinforcement learning building blocks in JAX. Apache-2 +
RLax (🥉24 · ⭐ 1.1K) - A library of reinforcement learning building blocks in JAX. Apache-2 - [GitHub](https://github.com/google-deepmind/rlax) (👨‍💻 21 · 🔀 82 · 📦 180 · 📋 30 - 40% open · ⏱️ 24.11.2023): ``` git clone https://github.com/deepmind/rlax ``` -- [PyPi](https://pypi.org/project/rlax) (📥 380K / month · 📦 2 · ⏱️ 09.01.2023): +- [PyPi](https://pypi.org/project/rlax) (📥 440K / month · 📦 2 · ⏱️ 09.01.2023): ``` pip install rlax ```
ReAgent (🥉23 · ⭐ 3.5K) - A platform for Reasoning systems (Reinforcement Learning,.. BSD-3 -- [GitHub](https://github.com/facebookresearch/ReAgent) (👨‍💻 160 · 🔀 500 · 📋 140 - 47% open · ⏱️ 29.11.2023): +- [GitHub](https://github.com/facebookresearch/ReAgent) (👨‍💻 160 · 🔀 500 · 📋 140 - 47% open · ⏱️ 07.12.2023): ``` git clone https://github.com/facebookresearch/ReAgent ``` -- [PyPi](https://pypi.org/project/reagent) (📥 29 / month · ⏱️ 27.05.2020): +- [PyPi](https://pypi.org/project/reagent) (📥 30 / month · ⏱️ 27.05.2020): ``` pip install reagent ```
PFRL (🥉22 · ⭐ 1.1K) - PFRL: a PyTorch-based deep reinforcement learning library. MIT -- [GitHub](https://github.com/pfnet/pfrl) (👨‍💻 19 · 🔀 140 · 📦 94 · 📋 78 - 42% open · ⏱️ 16.07.2023): +- [GitHub](https://github.com/pfnet/pfrl) (👨‍💻 19 · 🔀 140 · 📦 95 · 📋 78 - 42% open · ⏱️ 16.07.2023): ``` git clone https://github.com/pfnet/pfrl ``` -- [PyPi](https://pypi.org/project/pfrl) (📥 430 / month · 📦 1 · ⏱️ 16.07.2023): +- [PyPi](https://pypi.org/project/pfrl) (📥 540 / month · 📦 1 · ⏱️ 16.07.2023): ``` pip install pfrl ``` @@ -5627,14 +5580,14 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst ``` git clone https://github.com/IntelLabs/coach ``` -- [PyPi](https://pypi.org/project/rl_coach) (📥 100 / month · 📦 2 · ⏱️ 10.10.2019): +- [PyPi](https://pypi.org/project/rl_coach) (📥 110 / month · 📦 2 · ⏱️ 10.10.2019): ``` pip install rl_coach ```
-
rliable (🥉14 · ⭐ 640) - [NeurIPS21 Outstanding Paper] Library for reliable evaluation on RL.. Apache-2 +
rliable (🥉14 · ⭐ 650 · 💤) - [NeurIPS21 Outstanding Paper] Library for reliable evaluation on.. Apache-2 -- [GitHub](https://github.com/google-research/rliable) (👨‍💻 6 · 🔀 42 · 📦 100 · 📋 13 - 15% open · ⏱️ 29.05.2023): +- [GitHub](https://github.com/google-research/rliable) (👨‍💻 6 · 🔀 42 · 📦 100 · 📋 14 - 21% open · ⏱️ 29.05.2023): ``` git clone https://github.com/google-research/rliable @@ -5647,13 +5600,13 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst
Show 8 hidden projects... - baselines (🥈30 · ⭐ 15K · 💀) - OpenAI Baselines: high-quality implementations of reinforcement.. MIT -- keras-rl (🥈29 · ⭐ 5.4K · 💀) - Deep Reinforcement Learning for Keras. MIT -- Stable Baselines (🥉24 · ⭐ 3.9K · 💀) - A fork of OpenAI Baselines, implementations of.. MIT +- keras-rl (🥈28 · ⭐ 5.5K · 💀) - Deep Reinforcement Learning for Keras. MIT +- Stable Baselines (🥉24 · ⭐ 4K · 💀) - A fork of OpenAI Baselines, implementations of.. MIT - ChainerRL (🥉24 · ⭐ 1.1K · 💀) - ChainerRL is a deep reinforcement learning library built on top of.. MIT - TRFL (🥉22 · ⭐ 3.1K · 💀) - TensorFlow Reinforcement Learning. Apache-2 - SerpentAI (🥉18 · ⭐ 6.6K · 💀) - Game Agent Framework. Helping you create AIs / Bots that learn to.. MIT - DeepMind Lab (🥉17 · ⭐ 6.9K · 💤) - A customisable 3D platform for agent-based AI research. ❗Unlicensed -- Maze (🥉12 · ⭐ 250 · 💤) - Maze Applied Reinforcement Learning Framework. ❗️Custom +- Maze (🥉12 · ⭐ 250 · 💀) - Maze Applied Reinforcement Learning Framework. ❗️Custom

@@ -5663,14 +5616,14 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst _Libraries for building and evaluating recommendation systems._ -
Recommenders (🥇34 · ⭐ 17K) - Best Practices on Recommendation Systems. MIT +
Recommenders (🥇35 · ⭐ 17K) - Best Practices on Recommendation Systems. MIT -- [GitHub](https://github.com/recommenders-team/recommenders) (👨‍💻 130 · 🔀 2.8K · 📥 450 · 📦 88 · 📋 820 - 20% open · ⏱️ 13.10.2023): +- [GitHub](https://github.com/recommenders-team/recommenders) (👨‍💻 130 · 🔀 2.8K · 📥 450 · 📦 92 · 📋 820 - 20% open · ⏱️ 13.10.2023): ``` git clone https://github.com/microsoft/recommenders ``` -- [PyPi](https://pypi.org/project/recommenders) (📥 58K / month · 📦 2 · ⏱️ 01.04.2022): +- [PyPi](https://pypi.org/project/recommenders) (📥 62K / month · 📦 2 · ⏱️ 01.04.2022): ``` pip install recommenders ``` @@ -5682,7 +5635,7 @@ _Libraries for building and evaluating recommendation systems._ ``` git clone https://github.com/benfred/implicit ``` -- [PyPi](https://pypi.org/project/implicit) (📥 240K / month · 📦 39 · ⏱️ 29.09.2023): +- [PyPi](https://pypi.org/project/implicit) (📥 220K / month · 📦 39 · ⏱️ 29.09.2023): ``` pip install implicit ``` @@ -5693,12 +5646,12 @@ _Libraries for building and evaluating recommendation systems._
lightfm (🥈29 · ⭐ 4.5K · 💤) - A Python implementation of LightFM, a hybrid recommendation.. Apache-2 -- [GitHub](https://github.com/lyst/lightfm) (👨‍💻 47 · 🔀 670 · 📦 1.3K · 📋 490 - 27% open · ⏱️ 30.04.2023): +- [GitHub](https://github.com/lyst/lightfm) (👨‍💻 47 · 🔀 660 · 📦 1.3K · 📋 490 - 27% open · ⏱️ 30.04.2023): ``` git clone https://github.com/lyst/lightfm ``` -- [PyPi](https://pypi.org/project/lightfm) (📥 700K / month · 📦 50 · ⏱️ 27.11.2020): +- [PyPi](https://pypi.org/project/lightfm) (📥 700K / month · 📦 50 · ⏱️ 20.03.2023): ``` pip install lightfm ``` @@ -5709,24 +5662,24 @@ _Libraries for building and evaluating recommendation systems._
TF Recommenders (🥈29 · ⭐ 1.7K) - TensorFlow Recommenders is a library for building.. Apache-2 -- [GitHub](https://github.com/tensorflow/recommenders) (👨‍💻 42 · 🔀 240 · 📦 260 · 📋 420 - 55% open · ⏱️ 29.11.2023): +- [GitHub](https://github.com/tensorflow/recommenders) (👨‍💻 42 · 🔀 250 · 📦 270 · 📋 420 - 55% open · ⏱️ 29.11.2023): ``` git clone https://github.com/tensorflow/recommenders ``` -- [PyPi](https://pypi.org/project/tensorflow-recommenders) (📥 310K / month · 📦 1 · ⏱️ 03.02.2023): +- [PyPi](https://pypi.org/project/tensorflow-recommenders) (📥 300K / month · 📦 1 · ⏱️ 03.02.2023): ``` pip install tensorflow-recommenders ```
torchrec (🥈29 · ⭐ 1.6K) - Pytorch domain library for recommendation systems. BSD-3 -- [GitHub](https://github.com/pytorch/torchrec) (👨‍💻 180 · 🔀 300 · 📦 77 · 📋 230 - 57% open · ⏱️ 29.11.2023): +- [GitHub](https://github.com/pytorch/torchrec) (👨‍💻 190 · 🔀 300 · 📦 79 · 📋 230 - 57% open · ⏱️ 07.12.2023): ``` git clone https://github.com/pytorch/torchrec ``` -- [PyPi](https://pypi.org/project/torchrec-nightly-cpu) (📥 310 / month · ⏱️ 12.05.2022): +- [PyPi](https://pypi.org/project/torchrec-nightly-cpu) (📥 280 / month · ⏱️ 12.05.2022): ``` pip install torchrec-nightly-cpu ``` @@ -5747,21 +5700,9 @@ _Libraries for building and evaluating recommendation systems._ conda install -c conda-forge scikit-surprise ```
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TF Ranking (🥈28 · ⭐ 2.7K) - Learning to Rank in TensorFlow. Apache-2 - -- [GitHub](https://github.com/tensorflow/ranking) (👨‍💻 33 · 🔀 470 · 📋 320 - 25% open · ⏱️ 26.09.2023): - - ``` - git clone https://github.com/tensorflow/ranking - ``` -- [PyPi](https://pypi.org/project/tensorflow_ranking) (📥 110K / month · 📦 13 · ⏱️ 11.08.2023): - ``` - pip install tensorflow_ranking - ``` -
Cornac (🥈28 · ⭐ 760) - A Comparative Framework for Multimodal Recommender Systems. Apache-2 -- [GitHub](https://github.com/PreferredAI/cornac) (👨‍💻 17 · 🔀 120 · 📦 180 · 📋 130 - 5% open · ⏱️ 30.11.2023): +- [GitHub](https://github.com/PreferredAI/cornac) (👨‍💻 17 · 🔀 120 · 📦 180 · 📋 130 - 5% open · ⏱️ 06.12.2023): ``` git clone https://github.com/PreferredAI/cornac @@ -5775,22 +5716,34 @@ _Libraries for building and evaluating recommendation systems._ conda install -c conda-forge cornac ```
-
RecBole (🥉27 · ⭐ 2.9K) - A unified, comprehensive and efficient recommendation library. MIT +
RecBole (🥉27 · ⭐ 3K) - A unified, comprehensive and efficient recommendation library. MIT -- [GitHub](https://github.com/RUCAIBox/RecBole) (👨‍💻 70 · 🔀 550 · 📋 830 - 20% open · ⏱️ 25.11.2023): +- [GitHub](https://github.com/RUCAIBox/RecBole) (👨‍💻 70 · 🔀 550 · 📋 840 - 21% open · ⏱️ 25.11.2023): ``` git clone https://github.com/RUCAIBox/RecBole ``` -- [PyPi](https://pypi.org/project/recbole) (📥 3.6K / month · 📦 2 · ⏱️ 31.10.2023): +- [PyPi](https://pypi.org/project/recbole) (📥 3.2K / month · 📦 2 · ⏱️ 31.10.2023): ``` pip install recbole ``` -- [Conda](https://anaconda.org/aibox/recbole) (📥 4.2K · ⏱️ 01.11.2023): +- [Conda](https://anaconda.org/aibox/recbole) (📥 4.3K · ⏱️ 01.11.2023): ``` conda install -c aibox recbole ```
+
TF Ranking (🥉27 · ⭐ 2.7K) - Learning to Rank in TensorFlow. Apache-2 + +- [GitHub](https://github.com/tensorflow/ranking) (👨‍💻 33 · 🔀 470 · 📋 320 - 25% open · ⏱️ 26.09.2023): + + ``` + git clone https://github.com/tensorflow/ranking + ``` +- [PyPi](https://pypi.org/project/tensorflow_ranking) (📥 110K / month · 📦 13 · ⏱️ 11.08.2023): + ``` + pip install tensorflow_ranking + ``` +
recmetrics (🥉21 · ⭐ 540) - A library of metrics for evaluating recommender systems. MIT - [GitHub](https://github.com/statisticianinstilettos/recmetrics) (👨‍💻 20 · 🔀 97 · 📥 5 · 📦 47 · 📋 28 - 46% open · ⏱️ 04.10.2023): @@ -5810,8 +5763,8 @@ _Libraries for building and evaluating recommendation systems._ - fastFM (🥉21 · ⭐ 1.1K · 💀) - fastFM: A Library for Factorization Machines. BSD-3 - Spotlight (🥉18 · ⭐ 2.9K · 💀) - Deep recommender models using PyTorch. MIT - Case Recommender (🥉18 · ⭐ 450 · 💀) - Case Recommender: A Flexible and Extensible Python.. MIT +- Collie (🥉17 · ⭐ 100 · 💤) - A library for preparing, training, and evaluating scalable deep.. BSD-3 - OpenRec (🥉16 · ⭐ 400 · 💀) - OpenRec is an open-source and modular library for neural network-.. Apache-2 -- Collie (🥉16 · ⭐ 100 · 💤) - A library for preparing, training, and evaluating scalable deep.. BSD-3

@@ -5823,24 +5776,24 @@ _Libraries for encrypted and privacy-preserving machine learning using methods l
PySyft (🥇36 · ⭐ 9K) - Perform data science on data that remains in someone elses server. Apache-2 -- [GitHub](https://github.com/OpenMined/PySyft) (👨‍💻 500 · 🔀 1.9K · 📥 960 · 📋 3.5K - 4% open · ⏱️ 29.11.2023): +- [GitHub](https://github.com/OpenMined/PySyft) (👨‍💻 500 · 🔀 2K · 📥 1.1K · 📋 3.5K - 4% open · ⏱️ 07.12.2023): ``` git clone https://github.com/OpenMined/PySyft ``` -- [PyPi](https://pypi.org/project/syft) (📥 6.5K / month · 📦 5 · ⏱️ 29.11.2023): +- [PyPi](https://pypi.org/project/syft) (📥 5.8K / month · 📦 5 · ⏱️ 07.12.2023): ``` pip install syft ```
Opacus (🥈28 · ⭐ 1.5K) - Training PyTorch models with differential privacy. Apache-2 -- [GitHub](https://github.com/pytorch/opacus) (👨‍💻 74 · 🔀 300 · 📥 100 · 📦 690 · 📋 260 - 25% open · ⏱️ 28.11.2023): +- [GitHub](https://github.com/pytorch/opacus) (👨‍💻 74 · 🔀 300 · 📥 110 · 📦 700 · 📋 270 - 24% open · ⏱️ 06.12.2023): ``` git clone https://github.com/pytorch/opacus ``` -- [PyPi](https://pypi.org/project/opacus) (📥 40K / month · 📦 17 · ⏱️ 06.05.2022): +- [PyPi](https://pypi.org/project/opacus) (📥 47K / month · 📦 17 · ⏱️ 06.05.2022): ``` pip install opacus ``` @@ -5851,12 +5804,12 @@ _Libraries for encrypted and privacy-preserving machine learning using methods l
TensorFlow Privacy (🥈27 · ⭐ 1.8K) - Library for training machine learning models with.. Apache-2 -- [GitHub](https://github.com/tensorflow/privacy) (👨‍💻 56 · 🔀 430 · 📥 120 · 📋 200 - 55% open · ⏱️ 28.11.2023): +- [GitHub](https://github.com/tensorflow/privacy) (👨‍💻 57 · 🔀 430 · 📥 130 · 📋 200 - 55% open · ⏱️ 06.12.2023): ``` git clone https://github.com/tensorflow/privacy ``` -- [PyPi](https://pypi.org/project/tensorflow-privacy) (📥 17K / month · 📦 14 · ⏱️ 11.10.2023): +- [PyPi](https://pypi.org/project/tensorflow-privacy) (📥 18K / month · 📦 14 · ⏱️ 11.10.2023): ``` pip install tensorflow-privacy ``` @@ -5868,31 +5821,31 @@ _Libraries for encrypted and privacy-preserving machine learning using methods l ``` git clone https://github.com/FederatedAI/FATE ``` -- [PyPi](https://pypi.org/project/ETAF) (📥 3 / month · ⏱️ 06.05.2020): +- [PyPi](https://pypi.org/project/ETAF) (⏱️ 06.05.2020): ``` pip install ETAF ```
TFEncrypted (🥉25 · ⭐ 1.2K · 💤) - A Framework for Encrypted Machine Learning in.. Apache-2 -- [GitHub](https://github.com/tf-encrypted/tf-encrypted) (👨‍💻 29 · 🔀 200 · 📦 64 · 📋 430 - 32% open · ⏱️ 08.02.2023): +- [GitHub](https://github.com/tf-encrypted/tf-encrypted) (👨‍💻 29 · 🔀 200 · 📦 64 · 📋 440 - 32% open · ⏱️ 08.02.2023): ``` git clone https://github.com/tf-encrypted/tf-encrypted ``` -- [PyPi](https://pypi.org/project/tf-encrypted) (📥 760 / month · 📦 9 · ⏱️ 16.11.2022): +- [PyPi](https://pypi.org/project/tf-encrypted) (📥 910 / month · 📦 9 · ⏱️ 16.11.2022): ``` pip install tf-encrypted ```
-
CrypTen (🥉24 · ⭐ 1.4K) - A framework for Privacy Preserving Machine Learning. MIT +
CrypTen (🥉23 · ⭐ 1.4K) - A framework for Privacy Preserving Machine Learning. MIT - [GitHub](https://github.com/facebookresearch/CrypTen) (👨‍💻 33 · 🔀 290 · 📦 31 · 📋 260 - 26% open · ⏱️ 25.08.2023): ``` git clone https://github.com/facebookresearch/CrypTen ``` -- [PyPi](https://pypi.org/project/crypten) (📥 330 / month · 📦 1 · ⏱️ 08.12.2022): +- [PyPi](https://pypi.org/project/crypten) (📥 360 / month · 📦 1 · ⏱️ 08.12.2022): ``` pip install crypten ``` @@ -5911,23 +5864,23 @@ _Libraries to organize, track, and visualize machine learning experiments._
mlflow (🥇44 · ⭐ 16K) - Open source platform for the machine learning lifecycle. Apache-2 -- [GitHub](https://github.com/mlflow/mlflow) (👨‍💻 680 · 🔀 3.7K · 📦 27K · 📋 3.6K - 36% open · ⏱️ 30.11.2023): +- [GitHub](https://github.com/mlflow/mlflow) (👨‍💻 680 · 🔀 3.7K · 📦 27K · 📋 3.6K - 36% open · ⏱️ 07.12.2023): ``` git clone https://github.com/mlflow/mlflow ``` -- [PyPi](https://pypi.org/project/mlflow) (📥 15M / month · 📦 510 · ⏱️ 16.11.2023): +- [PyPi](https://pypi.org/project/mlflow) (📥 15M / month · 📦 520 · ⏱️ 07.12.2023): ``` pip install mlflow ``` -- [Conda](https://anaconda.org/conda-forge/mlflow) (📥 1.7M · ⏱️ 18.11.2023): +- [Conda](https://anaconda.org/conda-forge/mlflow) (📥 1.7M · ⏱️ 07.12.2023): ``` conda install -c conda-forge mlflow ```
Tensorboard (🥇43 · ⭐ 6.4K) - TensorFlows Visualization Toolkit. Apache-2 -- [GitHub](https://github.com/tensorflow/tensorboard) (👨‍💻 310 · 🔀 1.6K · 📦 200K · 📋 1.9K - 34% open · ⏱️ 29.11.2023): +- [GitHub](https://github.com/tensorflow/tensorboard) (👨‍💻 310 · 🔀 1.6K · 📦 200K · 📋 1.9K - 34% open · ⏱️ 07.12.2023): ``` git clone https://github.com/tensorflow/tensorboard @@ -5943,39 +5896,39 @@ _Libraries to organize, track, and visualize machine learning experiments._
DVC (🥇41 · ⭐ 13K) - ML Experiments Management with Git. Apache-2 -- [GitHub](https://github.com/iterative/dvc) (👨‍💻 290 · 🔀 1.1K · 📥 46K · 📦 11K · 📋 4.5K - 12% open · ⏱️ 29.11.2023): +- [GitHub](https://github.com/iterative/dvc) (👨‍💻 290 · 🔀 1.1K · 📥 46K · 📦 11K · 📋 4.5K - 12% open · ⏱️ 07.12.2023): ``` git clone https://github.com/iterative/dvc ``` -- [PyPi](https://pypi.org/project/dvc) (📥 850K / month · 📦 86 · ⏱️ 28.11.2023): +- [PyPi](https://pypi.org/project/dvc) (📥 840K / month · 📦 87 · ⏱️ 06.12.2023): ``` pip install dvc ``` -- [Conda](https://anaconda.org/conda-forge/dvc) (📥 1.7M · ⏱️ 28.11.2023): +- [Conda](https://anaconda.org/conda-forge/dvc) (📥 1.7M · ⏱️ 06.12.2023): ``` conda install -c conda-forge dvc ```
-
wandb client (🥇41 · ⭐ 7.5K) - A tool for visualizing and tracking your machine learning.. MIT +
wandb client (🥇41 · ⭐ 7.6K) - A tool for visualizing and tracking your machine learning.. MIT -- [GitHub](https://github.com/wandb/wandb) (👨‍💻 170 · 🔀 550 · 📦 34K · 📋 2.8K - 27% open · ⏱️ 29.11.2023): +- [GitHub](https://github.com/wandb/wandb) (👨‍💻 170 · 🔀 580 · 📦 34K · 📋 2.9K - 27% open · ⏱️ 05.12.2023): ``` git clone https://github.com/wandb/client ``` -- [PyPi](https://pypi.org/project/wandb) (📥 7.8M / month · 📦 650 · ⏱️ 07.11.2023): +- [PyPi](https://pypi.org/project/wandb) (📥 8M / month · 📦 660 · ⏱️ 05.12.2023): ``` pip install wandb ``` -- [Conda](https://anaconda.org/conda-forge/wandb) (📥 430K · ⏱️ 04.10.2023): +- [Conda](https://anaconda.org/conda-forge/wandb) (📥 430K · ⏱️ 05.12.2023): ``` conda install -c conda-forge wandb ```
SageMaker SDK (🥈38 · ⭐ 2K) - A library for training and deploying machine learning.. Apache-2 -- [GitHub](https://github.com/aws/sagemaker-python-sdk) (👨‍💻 410 · 🔀 1.1K · 📦 3.3K · 📋 1.4K - 34% open · ⏱️ 30.11.2023): +- [GitHub](https://github.com/aws/sagemaker-python-sdk) (👨‍💻 410 · 🔀 1.1K · 📦 3.3K · 📋 1.4K - 34% open · ⏱️ 07.12.2023): ``` git clone https://github.com/aws/sagemaker-python-sdk @@ -5991,12 +5944,12 @@ _Libraries to organize, track, and visualize machine learning experiments._
PyCaret (🥈37 · ⭐ 8K) - An open-source, low-code machine learning library in Python. MIT -- [GitHub](https://github.com/pycaret/pycaret) (👨‍💻 130 · 🔀 1.7K · 📥 670 · 📦 4.8K · 📋 2.2K - 14% open · ⏱️ 30.11.2023): +- [GitHub](https://github.com/pycaret/pycaret) (👨‍💻 130 · 🔀 1.7K · 📥 680 · 📦 4.8K · 📋 2.2K - 14% open · ⏱️ 30.11.2023): ``` git clone https://github.com/pycaret/pycaret ``` -- [PyPi](https://pypi.org/project/pycaret) (📥 300K / month · 📦 15 · ⏱️ 12.11.2023): +- [PyPi](https://pypi.org/project/pycaret) (📥 300K / month · 📦 16 · ⏱️ 12.11.2023): ``` pip install pycaret ``` @@ -6007,72 +5960,72 @@ _Libraries to organize, track, and visualize machine learning experiments._
snakemake (🥈35 · ⭐ 2K) - This is the development home of the workflow management system.. MIT -- [GitHub](https://github.com/snakemake/snakemake) (👨‍💻 310 · 🔀 460 · 📦 1.8K · 📋 1.4K - 59% open · ⏱️ 29.11.2023): +- [GitHub](https://github.com/snakemake/snakemake) (👨‍💻 310 · 🔀 460 · 📦 1.8K · 📋 1.4K - 59% open · ⏱️ 07.12.2023): ``` git clone https://github.com/snakemake/snakemake ``` -- [PyPi](https://pypi.org/project/snakemake) (📥 270K / month · 📦 260 · ⏱️ 18.09.2023): +- [PyPi](https://pypi.org/project/snakemake) (📥 330K / month · 📦 260 · ⏱️ 18.09.2023): ``` pip install snakemake ``` -- [Conda](https://anaconda.org/bioconda/snakemake) (📥 920K · ⏱️ 17.10.2023): +- [Conda](https://anaconda.org/bioconda/snakemake) (📥 930K · ⏱️ 17.10.2023): ``` conda install -c bioconda snakemake ```
-
tensorboardX (🥈34 · ⭐ 7.7K) - tensorboard for pytorch (and chainer, mxnet, numpy, ...). MIT +
AzureML SDK (🥈34 · ⭐ 3.8K) - Python notebooks with ML and deep learning examples with Azure.. MIT -- [GitHub](https://github.com/lanpa/tensorboardX) (👨‍💻 82 · 🔀 870 · 📥 400 · 📦 37K · 📋 450 - 17% open · ⏱️ 12.11.2023): +- [GitHub](https://github.com/Azure/MachineLearningNotebooks) (👨‍💻 64 · 🔀 2.4K · 📥 500 · 📋 1.4K - 25% open · ⏱️ 23.11.2023): ``` - git clone https://github.com/lanpa/tensorboardX - ``` -- [PyPi](https://pypi.org/project/tensorboardX) (📥 2.2M / month · 📦 980 · ⏱️ 20.08.2023): - ``` - pip install tensorboardX + git clone https://github.com/Azure/MachineLearningNotebooks ``` -- [Conda](https://anaconda.org/conda-forge/tensorboardx) (📥 1.1M · ⏱️ 20.08.2023): +- [PyPi](https://pypi.org/project/azureml-sdk) (📥 640K / month · 📦 48 · ⏱️ 09.11.2023): ``` - conda install -c conda-forge tensorboardx + pip install azureml-sdk ```
-
AzureML SDK (🥈34 · ⭐ 3.8K) - Python notebooks with ML and deep learning examples with Azure.. MIT +
tensorboardX (🥈33 · ⭐ 7.7K) - tensorboard for pytorch (and chainer, mxnet, numpy, ...). MIT -- [GitHub](https://github.com/Azure/MachineLearningNotebooks) (👨‍💻 64 · 🔀 2.4K · 📥 500 · 📋 1.4K - 25% open · ⏱️ 23.11.2023): +- [GitHub](https://github.com/lanpa/tensorboardX) (👨‍💻 82 · 🔀 870 · 📥 400 · 📦 37K · 📋 450 - 17% open · ⏱️ 12.11.2023): ``` - git clone https://github.com/Azure/MachineLearningNotebooks + git clone https://github.com/lanpa/tensorboardX ``` -- [PyPi](https://pypi.org/project/azureml-sdk) (📥 880K / month · 📦 48 · ⏱️ 09.11.2023): +- [PyPi](https://pypi.org/project/tensorboardX) (📥 2.2M / month · 📦 1K · ⏱️ 20.08.2023): ``` - pip install azureml-sdk + pip install tensorboardX + ``` +- [Conda](https://anaconda.org/conda-forge/tensorboardx) (📥 1.1M · ⏱️ 20.08.2023): + ``` + conda install -c conda-forge tensorboardx ```
Metaflow (🥈33 · ⭐ 7.2K) - Build and manage real-life data science projects with ease!. Apache-2 -- [GitHub](https://github.com/Netflix/metaflow) (👨‍💻 75 · 🔀 690 · 📦 560 · 📋 630 - 47% open · ⏱️ 29.11.2023): +- [GitHub](https://github.com/Netflix/metaflow) (👨‍💻 76 · 🔀 700 · 📦 560 · 📋 640 - 48% open · ⏱️ 05.12.2023): ``` git clone https://github.com/Netflix/metaflow ``` -- [PyPi](https://pypi.org/project/metaflow) (📥 200K / month · 📦 26 · ⏱️ 17.11.2023): +- [PyPi](https://pypi.org/project/metaflow) (📥 180K / month · 📦 26 · ⏱️ 04.12.2023): ``` pip install metaflow ``` -- [Conda](https://anaconda.org/conda-forge/metaflow) (📥 160K · ⏱️ 17.11.2023): +- [Conda](https://anaconda.org/conda-forge/metaflow) (📥 160K · ⏱️ 05.12.2023): ``` conda install -c conda-forge metaflow ```
ClearML (🥈33 · ⭐ 4.9K) - ClearML - Auto-Magical CI/CD to streamline your ML workflow... Apache-2 -- [GitHub](https://github.com/allegroai/clearml) (👨‍💻 88 · 🔀 600 · 📥 1.8K · 📦 820 · 📋 910 - 43% open · ⏱️ 29.11.2023): +- [GitHub](https://github.com/allegroai/clearml) (👨‍💻 88 · 🔀 600 · 📥 1.8K · 📦 830 · 📋 920 - 43% open · ⏱️ 07.12.2023): ``` git clone https://github.com/allegroai/clearml ``` -- [PyPi](https://pypi.org/project/clearml) (📥 230K / month · 📦 14 · ⏱️ 08.11.2023): +- [PyPi](https://pypi.org/project/clearml) (📥 230K / month · 📦 16 · ⏱️ 08.11.2023): ``` pip install clearml ``` @@ -6083,12 +6036,12 @@ _Libraries to organize, track, and visualize machine learning experiments._
kaggle (🥈31 · ⭐ 5.7K) - Official Kaggle API. Apache-2 -- [GitHub](https://github.com/Kaggle/kaggle-api) (👨‍💻 37 · 🔀 1K · 📦 21 · 📋 420 - 32% open · ⏱️ 17.07.2023): +- [GitHub](https://github.com/Kaggle/kaggle-api) (👨‍💻 37 · 🔀 1K · 📦 21 · 📋 420 - 33% open · ⏱️ 17.07.2023): ``` git clone https://github.com/Kaggle/kaggle-api ``` -- [PyPi](https://pypi.org/project/kaggle) (📥 190K / month · 📦 370 · ⏱️ 19.09.2023): +- [PyPi](https://pypi.org/project/kaggle) (📥 190K / month · 📦 380 · ⏱️ 19.09.2023): ``` pip install kaggle ``` @@ -6097,42 +6050,30 @@ _Libraries to organize, track, and visualize machine learning experiments._ conda install -c conda-forge kaggle ```
-
Neptune.ai (🥈31 · ⭐ 420) - The MLOps stack component for experiment tracking. Apache-2 +
Neptune.ai (🥈31 · ⭐ 430) - The MLOps stack component for experiment tracking. Apache-2 -- [GitHub](https://github.com/neptune-ai/neptune-client) (👨‍💻 52 · 🔀 51 · 📋 230 - 14% open · ⏱️ 30.11.2023): +- [GitHub](https://github.com/neptune-ai/neptune-client) (👨‍💻 52 · 🔀 52 · 📋 230 - 14% open · ⏱️ 07.12.2023): ``` git clone https://github.com/neptune-ai/neptune-client ``` -- [PyPi](https://pypi.org/project/neptune-client) (📥 540K / month · 📦 49 · ⏱️ 21.11.2023): +- [PyPi](https://pypi.org/project/neptune-client) (📥 540K / month · 📦 49 · ⏱️ 07.12.2023): ``` pip install neptune-client ``` -- [Conda](https://anaconda.org/conda-forge/neptune-client) (📥 220K · ⏱️ 21.11.2023): +- [Conda](https://anaconda.org/conda-forge/neptune-client) (📥 220K · ⏱️ 04.12.2023): ``` conda install -c conda-forge neptune-client ```
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VisualDL (🥈30 · ⭐ 4.7K) - Deep Learning Visualization Toolkit. Apache-2 - -- [GitHub](https://github.com/PaddlePaddle/VisualDL) (👨‍💻 33 · 🔀 630 · 📥 340 · 📦 2.5K · 📋 500 - 28% open · ⏱️ 20.09.2023): - - ``` - git clone https://github.com/PaddlePaddle/VisualDL - ``` -- [PyPi](https://pypi.org/project/visualdl) (📥 180K / month · 📦 40 · ⏱️ 05.06.2023): - ``` - pip install visualdl - ``` -
aim (🥈30 · ⭐ 4.4K) - Aim An easy-to-use & supercharged open-source experiment tracker. Apache-2 -- [GitHub](https://github.com/aimhubio/aim) (👨‍💻 58 · 🔀 250 · 📦 370 · 📋 950 - 32% open · ⏱️ 18.10.2023): +- [GitHub](https://github.com/aimhubio/aim) (👨‍💻 58 · 🔀 250 · 📦 380 · 📋 950 - 32% open · ⏱️ 18.10.2023): ``` git clone https://github.com/aimhubio/aim ``` -- [PyPi](https://pypi.org/project/aim) (📥 86K / month · 📦 16 · ⏱️ 29.11.2023): +- [PyPi](https://pypi.org/project/aim) (📥 90K / month · 📦 16 · ⏱️ 06.12.2023): ``` pip install aim ``` @@ -6148,7 +6089,7 @@ _Libraries to organize, track, and visualize machine learning experiments._ ``` git clone https://github.com/IDSIA/sacred ``` -- [PyPi](https://pypi.org/project/sacred) (📥 21K / month · 📦 110 · ⏱️ 13.11.2023): +- [PyPi](https://pypi.org/project/sacred) (📥 22K / month · 📦 110 · ⏱️ 13.11.2023): ``` pip install sacred ``` @@ -6157,9 +6098,21 @@ _Libraries to organize, track, and visualize machine learning experiments._ conda install -c conda-forge sacred ```
+
VisualDL (🥉28 · ⭐ 4.7K · 📉) - Deep Learning Visualization Toolkit. Apache-2 + +- [GitHub](https://github.com/PaddlePaddle/VisualDL) (👨‍💻 33 · 🔀 630 · 📥 340 · 📦 2.5K · 📋 500 - 28% open · ⏱️ 20.09.2023): + + ``` + git clone https://github.com/PaddlePaddle/VisualDL + ``` +- [PyPi](https://pypi.org/project/visualdl) (📥 180K / month · 📦 46 · ⏱️ 05.06.2023): + ``` + pip install visualdl + ``` +
quinn (🥉28 · ⭐ 540) - pyspark methods to enhance developer productivity. Apache-2 -- [GitHub](https://github.com/MrPowers/quinn) (👨‍💻 24 · 🔀 75 · 📥 9 · 📦 73 · 📋 89 - 39% open · ⏱️ 23.11.2023): +- [GitHub](https://github.com/MrPowers/quinn) (👨‍💻 24 · 🔀 76 · 📥 9 · 📦 73 · 📋 89 - 39% open · ⏱️ 23.11.2023): ``` git clone https://github.com/MrPowers/quinn @@ -6171,31 +6124,31 @@ _Libraries to organize, track, and visualize machine learning experiments._
Labml (🥉27 · ⭐ 1.7K) - Monitor deep learning model training and hardware usage from your mobile.. MIT -- [GitHub](https://github.com/labmlai/labml) (👨‍💻 9 · 🔀 110 · 📦 110 · 📋 38 - 47% open · ⏱️ 26.11.2023): +- [GitHub](https://github.com/labmlai/labml) (👨‍💻 9 · 🔀 120 · 📦 110 · 📋 38 - 47% open · ⏱️ 05.12.2023): ``` git clone https://github.com/labmlai/labml ``` -- [PyPi](https://pypi.org/project/labml) (📥 3K / month · 📦 6 · ⏱️ 10.09.2023): +- [PyPi](https://pypi.org/project/labml) (📥 2.6K / month · 📦 6 · ⏱️ 10.09.2023): ``` pip install labml ```
ml-metadata (🥉27 · ⭐ 570) - For recording and retrieving metadata associated with ML.. Apache-2 -- [GitHub](https://github.com/google/ml-metadata) (👨‍💻 19 · 🔀 120 · 📥 2.1K · 📦 360 · 📋 100 - 27% open · ⏱️ 28.11.2023): +- [GitHub](https://github.com/google/ml-metadata) (👨‍💻 19 · 🔀 120 · 📥 2.1K · 📦 370 · 📋 100 - 27% open · ⏱️ 07.12.2023): ``` git clone https://github.com/google/ml-metadata ``` -- [PyPi](https://pypi.org/project/ml-metadata) (📥 66K / month · 📦 22 · ⏱️ 10.08.2023): +- [PyPi](https://pypi.org/project/ml-metadata) (📥 65K / month · 📦 23 · ⏱️ 10.08.2023): ``` pip install ml-metadata ```
TNT (🥉26 · ⭐ 1.6K) - A lightweight library for PyTorch training tools and utilities. BSD-3 -- [GitHub](https://github.com/pytorch/tnt) (👨‍💻 110 · 🔀 250 · 📋 96 - 36% open · ⏱️ 29.11.2023): +- [GitHub](https://github.com/pytorch/tnt) (👨‍💻 110 · 🔀 250 · 📋 93 - 34% open · ⏱️ 06.12.2023): ``` git clone https://github.com/pytorch/tnt @@ -6205,14 +6158,14 @@ _Libraries to organize, track, and visualize machine learning experiments._ pip install torchnet ```
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Guild AI (🥉23 · ⭐ 830) - Experiment tracking, ML developer tools. Apache-2 +
Guild AI (🥉22 · ⭐ 840) - Experiment tracking, ML developer tools. Apache-2 -- [GitHub](https://github.com/guildai/guildai) (👨‍💻 29 · 🔀 81 · 📥 14 · 📦 85 · 📋 440 - 50% open · ⏱️ 12.08.2023): +- [GitHub](https://github.com/guildai/guildai) (👨‍💻 29 · 🔀 81 · 📥 14 · 📦 86 · 📋 440 - 50% open · ⏱️ 12.08.2023): ``` git clone https://github.com/guildai/guildai ``` -- [PyPi](https://pypi.org/project/guildai) (📥 1.3K / month · ⏱️ 11.05.2022): +- [PyPi](https://pypi.org/project/guildai) (📥 980 / month · ⏱️ 11.05.2022): ``` pip install guildai ``` @@ -6224,7 +6177,7 @@ _Libraries to organize, track, and visualize machine learning experiments._ ``` git clone https://github.com/studioml/studio ``` -- [PyPi](https://pypi.org/project/studioml) (📥 380 / month · ⏱️ 14.09.2021): +- [PyPi](https://pypi.org/project/studioml) (📥 620 / month · ⏱️ 14.09.2021): ``` pip install studioml ``` @@ -6236,37 +6189,37 @@ _Libraries to organize, track, and visualize machine learning experiments._ ``` git clone https://github.com/microsoft/tensorwatch ``` -- [PyPi](https://pypi.org/project/tensorwatch) (📥 900 / month · 📦 7 · ⏱️ 04.03.2020): +- [PyPi](https://pypi.org/project/tensorwatch) (📥 910 / month · 📦 7 · ⏱️ 04.03.2020): ``` pip install tensorwatch ```
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caliban (🥉16 · ⭐ 490) - Research workflows made easy, locally and in the Cloud. Apache-2 +
caliban (🥉15 · ⭐ 490) - Research workflows made easy, locally and in the Cloud. Apache-2 - [GitHub](https://github.com/google/caliban) (👨‍💻 10 · 🔀 69 · 📦 1 · 📋 34 - 55% open · ⏱️ 11.10.2023): ``` git clone https://github.com/google/caliban ``` -- [PyPi](https://pypi.org/project/caliban) (📥 90 / month · ⏱️ 12.09.2020): +- [PyPi](https://pypi.org/project/caliban) (📥 110 / month · ⏱️ 12.09.2020): ``` pip install caliban ```
Show 16 hidden projects... -- Catalyst (🥉29 · ⭐ 3.2K · 💀) - Accelerated deep learning R&D. Apache-2 +- Catalyst (🥈29 · ⭐ 3.2K · 💀) - Accelerated deep learning R&D. Apache-2 - knockknock (🥉25 · ⭐ 2.7K · 💀) - Knock Knock: Get notified when your training ends with only two.. MIT - livelossplot (🥉25 · ⭐ 1.3K · 💀) - Live training loss plot in Jupyter Notebook for Keras,.. MIT -- SKLL (🥉25 · ⭐ 540) - SciKit-Learn Laboratory (SKLL) makes it easy to run machine.. ❗️BSD-1-Clause +- SKLL (🥉25 · ⭐ 550) - SciKit-Learn Laboratory (SKLL) makes it easy to run machine.. ❗️BSD-1-Clause - gokart (🥉25 · ⭐ 290) - Gokart solves reproducibility, task dependencies, constraints of good code,.. MIT - hiddenlayer (🥉22 · ⭐ 1.7K · 💀) - Neural network graphs and training metrics for.. MIT - lore (🥉20 · ⭐ 1.6K · 💀) - Lore makes machine learning approachable for Software Engineers and.. MIT -- TensorBoard Logger (🥉20 · ⭐ 620 · 💀) - Log TensorBoard events without touching TensorFlow. MIT +- TensorBoard Logger (🥉20 · ⭐ 630 · 💀) - Log TensorBoard events without touching TensorFlow. MIT - MXBoard (🥉20 · ⭐ 320 · 💀) - Logging MXNet data for visualization in TensorBoard. Apache-2 - keepsake (🥉18 · ⭐ 1.6K · 💀) - Version control for machine learning. Apache-2 - datmo (🥉17 · ⭐ 340 · 💀) - Open source production model management tool for data scientists. MIT -- chitra (🥉17 · ⭐ 220 · 💤) - A multi-functional library for full-stack Deep Learning... Apache-2 +- chitra (🥉16 · ⭐ 220) - A multi-functional library for full-stack Deep Learning. Simplifies.. Apache-2 - steppy (🥉16 · ⭐ 140 · 💀) - Lightweight, Python library for fast and reproducible experimentation. MIT - ModelChimp (🥉13 · ⭐ 120 · 💀) - Experiment tracking for machine and deep learning projects. BSD-2 - CometML (🥉13) - Supercharging Machine Learning. ❗Unlicensed @@ -6282,12 +6235,12 @@ _Libraries to serialize models to files, convert between a variety of model form
onnx (🥇43 · ⭐ 16K) - Open standard for machine learning interoperability. Apache-2 -- [GitHub](https://github.com/onnx/onnx) (👨‍💻 300 · 🔀 3.6K · 📥 20K · 📦 21K · 📋 2.6K - 11% open · ⏱️ 27.11.2023): +- [GitHub](https://github.com/onnx/onnx) (👨‍💻 300 · 🔀 3.6K · 📥 20K · 📦 21K · 📋 2.6K - 11% open · ⏱️ 05.12.2023): ``` git clone https://github.com/onnx/onnx ``` -- [PyPi](https://pypi.org/project/onnx) (📥 4.4M / month · 📦 640 · ⏱️ 26.10.2023): +- [PyPi](https://pypi.org/project/onnx) (📥 4.3M / month · 📦 640 · ⏱️ 26.10.2023): ``` pip install onnx ``` @@ -6296,33 +6249,33 @@ _Libraries to serialize models to files, convert between a variety of model form conda install -c conda-forge onnx ```
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triton (🥇38 · ⭐ 8.9K) - Development repository for the Triton language and compiler. MIT +
triton (🥇38 · ⭐ 9.1K) - Development repository for the Triton language and compiler. MIT -- [GitHub](https://github.com/openai/triton) (👨‍💻 190 · 🔀 930 · 📦 21 · 📋 910 - 40% open · ⏱️ 30.11.2023): +- [GitHub](https://github.com/openai/triton) (👨‍💻 190 · 🔀 940 · 📦 21 · 📋 930 - 40% open · ⏱️ 06.12.2023): ``` git clone https://github.com/openai/triton ``` -- [PyPi](https://pypi.org/project/triton) (📥 6.8M / month · 📦 72 · ⏱️ 01.09.2023): +- [PyPi](https://pypi.org/project/triton) (📥 7M / month · 📦 73 · ⏱️ 01.09.2023): ``` pip install triton ```
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BentoML (🥈35 · ⭐ 5.9K) - Build Production-Grade AI Applications. Apache-2 +
BentoML (🥈35 · ⭐ 6K) - Build Production-Grade AI Applications. Apache-2 -- [GitHub](https://github.com/bentoml/BentoML) (👨‍💻 190 · 🔀 670 · 📥 2.1K · 📦 1.4K · 📋 960 - 18% open · ⏱️ 29.11.2023): +- [GitHub](https://github.com/bentoml/BentoML) (👨‍💻 190 · 🔀 670 · 📥 2.1K · 📦 1.4K · 📋 960 - 18% open · ⏱️ 07.12.2023): ``` git clone https://github.com/bentoml/BentoML ``` -- [PyPi](https://pypi.org/project/bentoml) (📥 67K / month · 📦 11 · ⏱️ 20.11.2023): +- [PyPi](https://pypi.org/project/bentoml) (📥 70K / month · 📦 12 · ⏱️ 20.11.2023): ``` pip install bentoml ```
TorchServe (🥈35 · ⭐ 3.8K) - Serve, optimize and scale PyTorch models in production. Apache-2 -- [GitHub](https://github.com/pytorch/serve) (👨‍💻 180 · 🔀 780 · 📥 5.4K · 📦 550 · 📋 1.5K - 22% open · ⏱️ 28.11.2023): +- [GitHub](https://github.com/pytorch/serve) (👨‍💻 180 · 🔀 780 · 📥 5.4K · 📦 560 · 📋 1.5K - 22% open · ⏱️ 06.12.2023): ``` git clone https://github.com/pytorch/serve @@ -6340,14 +6293,14 @@ _Libraries to serialize models to files, convert between a variety of model form docker pull pytorch/torchserve ```
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huggingface_hub (🥈35 · ⭐ 1.3K) - All the open source things related to the Hugging Face Hub. Apache-2 +
huggingface_hub (🥈35 · ⭐ 1.4K) - All the open source things related to the Hugging Face Hub. Apache-2 -- [GitHub](https://github.com/huggingface/huggingface_hub) (👨‍💻 120 · 🔀 320 · 📋 650 - 16% open · ⏱️ 30.11.2023): +- [GitHub](https://github.com/huggingface/huggingface_hub) (👨‍💻 120 · 🔀 320 · 📋 660 - 16% open · ⏱️ 06.12.2023): ``` git clone https://github.com/huggingface/huggingface_hub ``` -- [PyPi](https://pypi.org/project/huggingface_hub) (📥 23M / month · 📦 530 · ⏱️ 16.11.2023): +- [PyPi](https://pypi.org/project/huggingface_hub) (📥 23M / month · 📦 550 · ⏱️ 16.11.2023): ``` pip install huggingface_hub ``` @@ -6356,14 +6309,14 @@ _Libraries to serialize models to files, convert between a variety of model form conda install -c conda-forge huggingface_hub ```
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Core ML Tools (🥈33 · ⭐ 3.7K) - Core ML tools contain supporting tools for Core ML model.. BSD-3 +
Core ML Tools (🥈33 · ⭐ 3.8K) - Core ML tools contain supporting tools for Core ML model.. BSD-3 - [GitHub](https://github.com/apple/coremltools) (👨‍💻 160 · 🔀 560 · 📥 8.9K · 📦 3.5K · 📋 1.3K - 21% open · ⏱️ 28.11.2023): ``` git clone https://github.com/apple/coremltools ``` -- [PyPi](https://pypi.org/project/coremltools) (📥 200K / month · 📦 170 · ⏱️ 01.11.2023): +- [PyPi](https://pypi.org/project/coremltools) (📥 180K / month · 📦 170 · ⏱️ 01.11.2023): ``` pip install coremltools ``` @@ -6372,14 +6325,14 @@ _Libraries to serialize models to files, convert between a variety of model form conda install -c conda-forge coremltools ```
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Hummingbird (🥈26 · ⭐ 3.2K) - Hummingbird compiles trained ML models into tensor computation for.. MIT +
Hummingbird (🥈26 · ⭐ 3.3K) - Hummingbird compiles trained ML models into tensor computation for.. MIT -- [GitHub](https://github.com/microsoft/hummingbird) (👨‍💻 39 · 🔀 270 · 📥 360 · 📋 300 - 18% open · ⏱️ 13.10.2023): +- [GitHub](https://github.com/microsoft/hummingbird) (👨‍💻 39 · 🔀 270 · 📥 360 · 📋 300 - 18% open · ⏱️ 03.12.2023): ``` git clone https://github.com/microsoft/hummingbird ``` -- [PyPi](https://pypi.org/project/hummingbird-ml) (📥 8.3K / month · 📦 3 · ⏱️ 10.06.2020): +- [PyPi](https://pypi.org/project/hummingbird-ml) (📥 10K / month · 📦 3 · ⏱️ 10.06.2020): ``` pip install hummingbird-ml ``` @@ -6395,7 +6348,7 @@ _Libraries to serialize models to files, convert between a variety of model form ``` git clone https://github.com/fastmachinelearning/hls4ml ``` -- [PyPi](https://pypi.org/project/hls4ml) (📥 720 / month · ⏱️ 16.11.2023): +- [PyPi](https://pypi.org/project/hls4ml) (📥 760 / month · ⏱️ 16.11.2023): ``` pip install hls4ml ``` @@ -6404,14 +6357,14 @@ _Libraries to serialize models to files, convert between a variety of model form conda install -c conda-forge hls4ml ```
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nebullvm (🥉23 · ⭐ 8.3K) - The user analytics platform for LLMs. Apache-2 +
nebullvm (🥉22 · ⭐ 8.3K) - The user analytics platform for LLMs. Apache-2 - [GitHub](https://github.com/nebuly-ai/nebuly) (👨‍💻 40 · 🔀 650 · 📋 200 - 48% open · ⏱️ 28.10.2023): ``` git clone https://github.com/nebuly-ai/nebullvm ``` -- [PyPi](https://pypi.org/project/nebullvm) (📥 530 / month · 📦 2 · ⏱️ 18.06.2023): +- [PyPi](https://pypi.org/project/nebullvm) (📥 510 / month · 📦 2 · ⏱️ 18.06.2023): ``` pip install nebullvm ``` @@ -6423,7 +6376,7 @@ _Libraries to serialize models to files, convert between a variety of model form ``` git clone https://github.com/cortexlabs/cortex ``` -- [PyPi](https://pypi.org/project/cortex) (📥 910 / month · 📦 1 · ⏱️ 23.09.2022): +- [PyPi](https://pypi.org/project/cortex) (📥 950 / month · 📦 1 · ⏱️ 23.09.2022): ``` pip install cortex ``` @@ -6434,8 +6387,8 @@ _Libraries to serialize models to files, convert between a variety of model form - m2cgen (🥉25 · ⭐ 2.7K · 💀) - Transform ML models into a native code (Java, C, Python, Go,.. MIT - sklearn-porter (🥉23 · ⭐ 1.3K · 💀) - Transpile trained scikit-learn estimators to C, Java,.. BSD-3 - Larq Compute Engine (🥉21 · ⭐ 230) - Highly optimized inference engine for Binarized.. Apache-2 +- OMLT (🥉20 · ⭐ 220) - Represent trained machine learning models as Pyomo optimization formulations. BSD-3 - pytorch2keras (🥉19 · ⭐ 840 · 💀) - PyTorch to Keras model convertor. MIT -- OMLT (🥉19 · ⭐ 220) - Represent trained machine learning models as Pyomo optimization formulations. BSD-3 - modelkit (🥉17 · ⭐ 150) - Toolkit for developing and maintaining ML models. MIT - tfdeploy (🥉16 · ⭐ 350 · 💀) - Deploy tensorflow graphs for fast evaluation and export to.. BSD-3 - backprop (🥉14 · ⭐ 240 · 💀) - Backprop makes it simple to use, finetune, and deploy state-of-.. Apache-2 @@ -6451,12 +6404,12 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
shap (🥇41 · ⭐ 21K) - A game theoretic approach to explain the output of any machine learning model. MIT -- [GitHub](https://github.com/shap/shap) (👨‍💻 230 · 🔀 3K · 📦 15K · 📋 2.4K - 60% open · ⏱️ 30.11.2023): +- [GitHub](https://github.com/shap/shap) (👨‍💻 230 · 🔀 3.1K · 📦 15K · 📋 2.4K - 59% open · ⏱️ 07.12.2023): ``` git clone https://github.com/slundberg/shap ``` -- [PyPi](https://pypi.org/project/shap) (📥 7.3M / month · 📦 440 · ⏱️ 09.10.2023): +- [PyPi](https://pypi.org/project/shap) (📥 7.3M / month · 📦 440 · ⏱️ 07.12.2023): ``` pip install shap ``` @@ -6483,124 +6436,124 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
Netron (🥇34 · ⭐ 25K) - Visualizer for neural network, deep learning and machine learning.. MIT -- [GitHub](https://github.com/lutzroeder/netron) (👨‍💻 2 · 🔀 2.6K · 📥 65K · 📦 11 · 📋 1K - 2% open · ⏱️ 29.11.2023): +- [GitHub](https://github.com/lutzroeder/netron) (👨‍💻 2 · 🔀 2.6K · 📥 68K · 📦 11 · 📋 1K - 2% open · ⏱️ 07.12.2023): ``` git clone https://github.com/lutzroeder/netron ``` -- [PyPi](https://pypi.org/project/netron) (📥 21K / month · 📦 74 · ⏱️ 24.11.2023): +- [PyPi](https://pypi.org/project/netron) (📥 21K / month · 📦 74 · ⏱️ 02.12.2023): ``` pip install netron ```
InterpretML (🥇33 · ⭐ 5.8K) - Fit interpretable models. Explain blackbox machine learning. MIT -- [GitHub](https://github.com/interpretml/interpret) (👨‍💻 39 · 🔀 680 · 📦 570 · 📋 400 - 18% open · ⏱️ 29.11.2023): +- [GitHub](https://github.com/interpretml/interpret) (👨‍💻 39 · 🔀 680 · 📦 580 · 📋 400 - 18% open · ⏱️ 04.12.2023): ``` git clone https://github.com/interpretml/interpret ``` -- [PyPi](https://pypi.org/project/interpret) (📥 83K / month · 📦 28 · ⏱️ 26.08.2023): +- [PyPi](https://pypi.org/project/interpret) (📥 85K / month · 📦 29 · ⏱️ 26.08.2023): ``` pip install interpret ```
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Captum (🥇32 · ⭐ 4.3K) - Model interpretability and understanding for PyTorch. BSD-3 +
Captum (🥇33 · ⭐ 4.3K) - Model interpretability and understanding for PyTorch. BSD-3 -- [GitHub](https://github.com/pytorch/captum) (👨‍💻 100 · 🔀 440 · 📦 1.6K · 📋 500 - 34% open · ⏱️ 27.11.2023): +- [GitHub](https://github.com/pytorch/captum) (👨‍💻 100 · 🔀 460 · 📦 1.6K · 📋 520 - 36% open · ⏱️ 05.12.2023): ``` git clone https://github.com/pytorch/captum ``` -- [PyPi](https://pypi.org/project/captum) (📥 120K / month · 📦 46 · ⏱️ 27.12.2022): +- [PyPi](https://pypi.org/project/captum) (📥 120K / month · 📦 59 · ⏱️ 05.12.2023): ``` pip install captum ``` -- [Conda](https://anaconda.org/conda-forge/captum) (📥 18K · ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/captum) (📥 19K · ⏱️ 16.06.2023): ``` conda install -c conda-forge captum ```
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evaluate (🥇32 · ⭐ 1.6K) - Evaluate: A library for easily evaluating machine learning models.. Apache-2 +
evaluate (🥈32 · ⭐ 1.6K) - Evaluate: A library for easily evaluating machine learning models.. Apache-2 -- [GitHub](https://github.com/huggingface/evaluate) (👨‍💻 120 · 🔀 190 · 📦 5.1K · 📋 250 - 51% open · ⏱️ 02.11.2023): +- [GitHub](https://github.com/huggingface/evaluate) (👨‍💻 120 · 🔀 180 · 📦 5.2K · 📋 250 - 51% open · ⏱️ 02.11.2023): ``` git clone https://github.com/huggingface/evaluate ``` -- [PyPi](https://pypi.org/project/evaluate) (📥 1.6M / month · 📦 130 · ⏱️ 13.10.2023): +- [PyPi](https://pypi.org/project/evaluate) (📥 1.7M / month · 📦 140 · ⏱️ 13.10.2023): ``` pip install evaluate ```
DoWhy (🥈30 · ⭐ 6.4K) - DoWhy is a Python library for causal inference that supports explicit.. MIT -- [GitHub](https://github.com/py-why/dowhy) (👨‍💻 82 · 🔀 860 · 📥 33 · 📦 310 · 📋 420 - 29% open · ⏱️ 29.11.2023): +- [GitHub](https://github.com/py-why/dowhy) (👨‍💻 82 · 🔀 880 · 📥 33 · 📦 310 · 📋 430 - 29% open · ⏱️ 06.12.2023): ``` git clone https://github.com/py-why/dowhy ``` -- [PyPi](https://pypi.org/project/dowhy) (📥 38K / month · 📦 7 · ⏱️ 05.09.2023): +- [PyPi](https://pypi.org/project/dowhy) (📥 37K / month · 📦 7 · ⏱️ 06.12.2023): ``` pip install dowhy ``` -- [Conda](https://anaconda.org/conda-forge/dowhy) (📥 18K · ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/dowhy) (📥 18K · ⏱️ 30.11.2023): ``` conda install -c conda-forge dowhy ```
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dtreeviz (🥈30 · ⭐ 2.7K) - A python library for decision tree visualization and model interpretation. MIT +
explainerdashboard (🥈30 · ⭐ 2.1K) - Quickly build Explainable AI dashboards that show the inner.. MIT -- [GitHub](https://github.com/parrt/dtreeviz) (👨‍💻 25 · 🔀 320 · 📦 970 · 📋 190 - 29% open · ⏱️ 13.07.2023): +- [GitHub](https://github.com/oegedijk/explainerdashboard) (👨‍💻 20 · 🔀 300 · 📦 410 · 📋 220 - 13% open · ⏱️ 01.08.2023): ``` - git clone https://github.com/parrt/dtreeviz + git clone https://github.com/oegedijk/explainerdashboard ``` -- [PyPi](https://pypi.org/project/dtreeviz) (📥 170K / month · 📦 24 · ⏱️ 07.07.2022): +- [PyPi](https://pypi.org/project/explainerdashboard) (📥 63K / month · 📦 9 · ⏱️ 01.08.2023): ``` - pip install dtreeviz + pip install explainerdashboard ``` -- [Conda](https://anaconda.org/conda-forge/dtreeviz) (📥 63K · ⏱️ 13.07.2023): +- [Conda](https://anaconda.org/conda-forge/explainerdashboard) (📥 42K · ⏱️ 16.06.2023): ``` - conda install -c conda-forge dtreeviz + conda install -c conda-forge explainerdashboard ```
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explainerdashboard (🥈30 · ⭐ 2.1K) - Quickly build Explainable AI dashboards that show the inner.. MIT +
dtreeviz (🥈29 · ⭐ 2.7K) - A python library for decision tree visualization and model interpretation. MIT -- [GitHub](https://github.com/oegedijk/explainerdashboard) (👨‍💻 20 · 🔀 300 · 📦 410 · 📋 220 - 13% open · ⏱️ 01.08.2023): +- [GitHub](https://github.com/parrt/dtreeviz) (👨‍💻 25 · 🔀 320 · 📦 980 · 📋 190 - 30% open · ⏱️ 13.07.2023): ``` - git clone https://github.com/oegedijk/explainerdashboard + git clone https://github.com/parrt/dtreeviz ``` -- [PyPi](https://pypi.org/project/explainerdashboard) (📥 63K / month · 📦 9 · ⏱️ 01.08.2023): +- [PyPi](https://pypi.org/project/dtreeviz) (📥 160K / month · 📦 24 · ⏱️ 07.07.2022): ``` - pip install explainerdashboard + pip install dtreeviz ``` -- [Conda](https://anaconda.org/conda-forge/explainerdashboard) (📥 42K · ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/dtreeviz) (📥 63K · ⏱️ 13.07.2023): ``` - conda install -c conda-forge explainerdashboard + conda install -c conda-forge dtreeviz ```
shapash (🥈29 · ⭐ 2.5K) - Shapash: User-friendly Explainability and Interpretability to.. Apache-2 -- [GitHub](https://github.com/MAIF/shapash) (👨‍💻 35 · 🔀 300 · 📦 130 · 📋 180 - 18% open · ⏱️ 16.11.2023): +- [GitHub](https://github.com/MAIF/shapash) (👨‍💻 35 · 🔀 300 · 📦 130 · 📋 180 - 19% open · ⏱️ 01.12.2023): ``` git clone https://github.com/MAIF/shapash ``` -- [PyPi](https://pypi.org/project/shapash) (📥 5.7K / month · 📦 2 · ⏱️ 20.09.2023): +- [PyPi](https://pypi.org/project/shapash) (📥 5.6K / month · 📦 2 · ⏱️ 01.12.2023): ``` pip install shapash ```
Alibi (🥈29 · ⭐ 2.2K) - Algorithms for explaining machine learning models. Apache-2 -- [GitHub](https://github.com/SeldonIO/alibi) (👨‍💻 19 · 🔀 230 · 📦 530 · 📋 360 - 37% open · ⏱️ 13.11.2023): +- [GitHub](https://github.com/SeldonIO/alibi) (👨‍💻 19 · 🔀 230 · 📦 540 · 📋 360 - 37% open · ⏱️ 13.11.2023): ``` git clone https://github.com/SeldonIO/alibi ``` -- [PyPi](https://pypi.org/project/alibi) (📥 18K / month · 📦 25 · ⏱️ 07.07.2023): +- [PyPi](https://pypi.org/project/alibi) (📥 17K / month · 📦 26 · ⏱️ 07.07.2023): ``` pip install alibi ``` @@ -6612,23 +6565,23 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/bmabey/pyLDAvis ``` -- [PyPi](https://pypi.org/project/pyldavis) (📥 220K / month · 📦 160 · ⏱️ 24.03.2021): +- [PyPi](https://pypi.org/project/pyldavis) (📥 210K / month · 📦 160 · ⏱️ 23.04.2023): ``` pip install pyldavis ``` -- [Conda](https://anaconda.org/conda-forge/pyldavis) (📥 76K · ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/pyldavis) (📥 77K · ⏱️ 16.06.2023): ``` conda install -c conda-forge pyldavis ```
fairlearn (🥈29 · ⭐ 1.7K) - A Python package to assess and improve fairness of machine.. MIT -- [GitHub](https://github.com/fairlearn/fairlearn) (👨‍💻 77 · 🔀 360 · 📦 2 · 📋 460 - 37% open · ⏱️ 17.11.2023): +- [GitHub](https://github.com/fairlearn/fairlearn) (👨‍💻 77 · 🔀 360 · 📦 2 · 📋 460 - 37% open · ⏱️ 04.12.2023): ``` git clone https://github.com/fairlearn/fairlearn ``` -- [PyPi](https://pypi.org/project/fairlearn) (📥 290K / month · 📦 24 · ⏱️ 27.07.2023): +- [PyPi](https://pypi.org/project/fairlearn) (📥 320K / month · 📦 29 · ⏱️ 27.07.2023): ``` pip install fairlearn ``` @@ -6639,24 +6592,24 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
Model Analysis (🥈29 · ⭐ 1.2K) - Model analysis tools for TensorFlow. Apache-2 -- [GitHub](https://github.com/tensorflow/model-analysis) (👨‍💻 56 · 🔀 270 · 📋 87 - 39% open · ⏱️ 28.11.2023): +- [GitHub](https://github.com/tensorflow/model-analysis) (👨‍💻 56 · 🔀 270 · 📋 87 - 39% open · ⏱️ 06.12.2023): ``` git clone https://github.com/tensorflow/model-analysis ``` -- [PyPi](https://pypi.org/project/tensorflow-model-analysis) (📥 97K / month · 📦 23 · ⏱️ 14.08.2023): +- [PyPi](https://pypi.org/project/tensorflow-model-analysis) (📥 94K / month · 📦 23 · ⏱️ 14.08.2023): ``` pip install tensorflow-model-analysis ```
responsible-ai-widgets (🥈29 · ⭐ 1K) - Responsible AI Toolbox is a suite of tools providing.. MIT -- [GitHub](https://github.com/microsoft/responsible-ai-toolbox) (👨‍💻 39 · 🔀 270 · 📦 72 · 📋 300 - 26% open · ⏱️ 29.11.2023): +- [GitHub](https://github.com/microsoft/responsible-ai-toolbox) (👨‍💻 39 · 🔀 280 · 📦 75 · 📋 300 - 25% open · ⏱️ 06.12.2023): ``` git clone https://github.com/microsoft/responsible-ai-toolbox ``` -- [PyPi](https://pypi.org/project/raiwidgets) (📥 5.7K / month · 📦 3 · ⏱️ 15.11.2023): +- [PyPi](https://pypi.org/project/raiwidgets) (📥 5.6K / month · 📦 3 · ⏱️ 06.12.2023): ``` pip install raiwidgets ``` @@ -6668,7 +6621,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/csinva/imodels ``` -- [PyPi](https://pypi.org/project/imodels) (📥 200K / month · 📦 4 · ⏱️ 05.10.2023): +- [PyPi](https://pypi.org/project/imodels) (📥 180K / month · 📦 4 · ⏱️ 05.10.2023): ``` pip install imodels ``` @@ -6680,7 +6633,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/DistrictDataLabs/yellowbrick ``` -- [PyPi](https://pypi.org/project/yellowbrick) (📥 490K / month · 📦 83 · ⏱️ 21.08.2022): +- [PyPi](https://pypi.org/project/yellowbrick) (📥 490K / month · 📦 85 · ⏱️ 21.08.2022): ``` pip install yellowbrick ``` @@ -6696,7 +6649,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/PAIR-code/lit ``` -- [PyPi](https://pypi.org/project/lit-nlp) (📥 3.2K / month · 📦 1 · ⏱️ 08.11.2023): +- [PyPi](https://pypi.org/project/lit-nlp) (📥 3.1K / month · 📦 1 · ⏱️ 08.11.2023): ``` pip install lit-nlp ``` @@ -6712,59 +6665,47 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/Trusted-AI/AIF360 ``` -- [PyPi](https://pypi.org/project/aif360) (📥 9K / month · 📦 14 · ⏱️ 03.09.2022): +- [PyPi](https://pypi.org/project/aif360) (📥 10K / month · 📦 14 · ⏱️ 03.09.2022): ``` pip install aif360 ``` -- [Conda](https://anaconda.org/conda-forge/aif360) (📥 7.6K · ⏱️ 14.10.2023): +- [Conda](https://anaconda.org/conda-forge/aif360) (📥 7.7K · ⏱️ 14.10.2023): ``` conda install -c conda-forge aif360 ```
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CausalNex (🥉26 · ⭐ 2K) - A Python library that helps data scientists to infer.. Apache-2 - -- [GitHub](https://github.com/mckinsey/causalnex) (👨‍💻 35 · 🔀 230 · 📦 100 · 📋 130 - 12% open · ⏱️ 11.07.2023): - - ``` - git clone https://github.com/quantumblacklabs/causalnex - ``` -- [PyPi](https://pypi.org/project/causalnex) (📥 3.9K / month · 📦 3 · ⏱️ 11.11.2021): - ``` - pip install causalnex - ``` -
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Explainability 360 (🥉26 · ⭐ 1.4K) - Interpretability and explainability of data and.. Apache-2 +
iNNvestigate (🥉26 · ⭐ 1.2K) - A toolbox to iNNvestigate neural networks predictions!. BSD-2 -- [GitHub](https://github.com/Trusted-AI/AIX360) (👨‍💻 41 · 🔀 300 · 📦 86 · 📋 83 - 65% open · ⏱️ 22.08.2023): +- [GitHub](https://github.com/albermax/innvestigate) (👨‍💻 20 · 🔀 240 · 📥 87 · 📦 110 · 📋 260 - 20% open · ⏱️ 12.10.2023): ``` - git clone https://github.com/Trusted-AI/AIX360 + git clone https://github.com/albermax/innvestigate ``` -- [PyPi](https://pypi.org/project/aix360) (📥 1.9K / month · 📦 1 · ⏱️ 31.07.2023): +- [PyPi](https://pypi.org/project/innvestigate) (📥 780 / month · 📦 2 · ⏱️ 12.10.2023): ``` - pip install aix360 + pip install innvestigate ```
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iNNvestigate (🥉26 · ⭐ 1.2K) - A toolbox to iNNvestigate neural networks predictions!. BSD-2 +
CausalNex (🥉25 · ⭐ 2K) - A Python library that helps data scientists to infer.. Apache-2 -- [GitHub](https://github.com/albermax/innvestigate) (👨‍💻 20 · 🔀 240 · 📥 87 · 📦 110 · 📋 260 - 20% open · ⏱️ 12.10.2023): +- [GitHub](https://github.com/mckinsey/causalnex) (👨‍💻 35 · 🔀 230 · 📦 100 · 📋 130 - 12% open · ⏱️ 11.07.2023): ``` - git clone https://github.com/albermax/innvestigate + git clone https://github.com/quantumblacklabs/causalnex ``` -- [PyPi](https://pypi.org/project/innvestigate) (📥 650 / month · 📦 2 · ⏱️ 12.10.2023): +- [PyPi](https://pypi.org/project/causalnex) (📥 3.9K / month · 📦 3 · ⏱️ 22.06.2023): ``` - pip install innvestigate + pip install causalnex ```
checklist (🥉25 · ⭐ 2K) - Beyond Accuracy: Behavioral Testing of NLP models with CheckList. MIT -- [GitHub](https://github.com/marcotcr/checklist) (👨‍💻 15 · 🔀 190 · 📦 290 · 📋 120 - 29% open · ⏱️ 26.09.2023): +- [GitHub](https://github.com/marcotcr/checklist) (👨‍💻 15 · 🔀 200 · 📦 290 · 📋 120 - 29% open · ⏱️ 26.09.2023): ``` git clone https://github.com/marcotcr/checklist ``` -- [PyPi](https://pypi.org/project/checklist) (📥 5K / month · 📦 7 · ⏱️ 24.05.2021): +- [PyPi](https://pypi.org/project/checklist) (📥 4.5K / month · 📦 7 · ⏱️ 24.05.2021): ``` pip install checklist ``` @@ -6773,30 +6714,42 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin conda install -c conda-forge checklist ```
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DiCE (🥉24 · ⭐ 1.2K) - Generate Diverse Counterfactual Explanations for any machine.. MIT +
Explainability 360 (🥉25 · ⭐ 1.4K) - Interpretability and explainability of data and.. Apache-2 -- [GitHub](https://github.com/interpretml/DiCE) (👨‍💻 19 · 🔀 170 · 📋 160 - 42% open · ⏱️ 03.11.2023): +- [GitHub](https://github.com/Trusted-AI/AIX360) (👨‍💻 41 · 🔀 300 · 📦 86 · 📋 83 - 65% open · ⏱️ 22.08.2023): ``` - git clone https://github.com/interpretml/DiCE + git clone https://github.com/Trusted-AI/AIX360 ``` -- [PyPi](https://pypi.org/project/dice-ml) (📥 46K / month · 📦 6 · ⏱️ 27.10.2023): +- [PyPi](https://pypi.org/project/aix360) (📥 2K / month · 📦 1 · ⏱️ 31.07.2023): ``` - pip install dice-ml + pip install aix360 ```
keract (🥉24 · ⭐ 1K) - Layers Outputs and Gradients in Keras. Made easy. MIT -- [GitHub](https://github.com/philipperemy/keract) (👨‍💻 16 · 🔀 180 · 📦 190 · 📋 89 - 3% open · ⏱️ 17.11.2023): +- [GitHub](https://github.com/philipperemy/keract) (👨‍💻 16 · 🔀 180 · 📦 200 · 📋 89 - 3% open · ⏱️ 17.11.2023): ``` git clone https://github.com/philipperemy/keract ``` -- [PyPi](https://pypi.org/project/keract) (📥 5.6K / month · 📦 9 · ⏱️ 25.09.2022): +- [PyPi](https://pypi.org/project/keract) (📥 5K / month · 📦 9 · ⏱️ 25.09.2022): ``` pip install keract ```
+
DiCE (🥉23 · ⭐ 1.2K) - Generate Diverse Counterfactual Explanations for any machine.. MIT + +- [GitHub](https://github.com/interpretml/DiCE) (👨‍💻 19 · 🔀 170 · 📋 160 - 42% open · ⏱️ 06.12.2023): + + ``` + git clone https://github.com/interpretml/DiCE + ``` +- [PyPi](https://pypi.org/project/dice-ml) (📥 57K / month · 📦 6 · ⏱️ 27.10.2023): + ``` + pip install dice-ml + ``` +
What-If Tool (🥉22 · ⭐ 860 · 💤) - Source code/webpage/demos for the What-If Tool. Apache-2 - [GitHub](https://github.com/PAIR-code/what-if-tool) (👨‍💻 20 · 🔀 160 · 📋 140 - 58% open · ⏱️ 27.04.2023): @@ -6804,7 +6757,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/PAIR-code/what-if-tool ``` -- [PyPi](https://pypi.org/project/witwidget) (📥 5.4K / month · 📦 4 · ⏱️ 12.10.2021): +- [PyPi](https://pypi.org/project/witwidget) (📥 4.9K / month · 📦 4 · ⏱️ 12.10.2021): ``` pip install witwidget ``` @@ -6812,7 +6765,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` conda install -c conda-forge tensorboard-plugin-wit ``` -- [npm](https://www.npmjs.com/package/wit-widget) (📥 890 / month · 📦 1 · ⏱️ 12.10.2021): +- [npm](https://www.npmjs.com/package/wit-widget) (📥 920 / month · 📦 1 · ⏱️ 12.10.2021): ``` npm install wit-widget ``` @@ -6831,12 +6784,12 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
ecco (🥉21 · ⭐ 1.8K) - Explain, analyze, and visualize NLP language models. Ecco creates.. BSD-3 -- [GitHub](https://github.com/jalammar/ecco) (👨‍💻 11 · 🔀 150 · 📥 67 · 📦 28 · 📋 57 - 45% open · ⏱️ 10.08.2023): +- [GitHub](https://github.com/jalammar/ecco) (👨‍💻 11 · 🔀 150 · 📥 69 · 📦 28 · 📋 57 - 45% open · ⏱️ 10.08.2023): ``` git clone https://github.com/jalammar/ecco ``` -- [PyPi](https://pypi.org/project/ecco) (📥 400 / month · 📦 1 · ⏱️ 09.01.2022): +- [PyPi](https://pypi.org/project/ecco) (📥 350 / month · 📦 1 · ⏱️ 09.01.2022): ``` pip install ecco ``` @@ -6847,7 +6800,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
model-card-toolkit (🥉20 · ⭐ 390) - A toolkit that streamlines and automates the generation.. Apache-2 -- [GitHub](https://github.com/tensorflow/model-card-toolkit) (👨‍💻 22 · 🔀 79 · 📥 11 · 📦 21 · 📋 33 - 30% open · ⏱️ 26.07.2023): +- [GitHub](https://github.com/tensorflow/model-card-toolkit) (👨‍💻 22 · 🔀 79 · 📥 14 · 📦 22 · 📋 33 - 30% open · ⏱️ 26.07.2023): ``` git clone https://github.com/tensorflow/model-card-toolkit @@ -6864,19 +6817,19 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/tensorflow/fairness-indicators ``` -- [PyPi](https://pypi.org/project/fairness-indicators) (📥 2K / month · ⏱️ 13.12.2022): +- [PyPi](https://pypi.org/project/fairness-indicators) (📥 1.9K / month · ⏱️ 13.12.2022): ``` pip install fairness-indicators ```
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LOFO (🥉18 · ⭐ 780 · 💤) - Leave One Feature Out Importance. MIT +
LOFO (🥉18 · ⭐ 790 · 💤) - Leave One Feature Out Importance. MIT -- [GitHub](https://github.com/aerdem4/lofo-importance) (👨‍💻 5 · 🔀 78 · 📦 27 · 📋 28 - 21% open · ⏱️ 14.04.2023): +- [GitHub](https://github.com/aerdem4/lofo-importance) (👨‍💻 5 · 🔀 79 · 📦 27 · 📋 28 - 21% open · ⏱️ 14.04.2023): ``` git clone https://github.com/aerdem4/lofo-importance ``` -- [PyPi](https://pypi.org/project/lofo-importance) (📥 890 / month · 📦 2 · ⏱️ 27.04.2022): +- [PyPi](https://pypi.org/project/lofo-importance) (📥 900 / month · 📦 2 · ⏱️ 27.04.2022): ``` pip install lofo-importance ``` @@ -6888,19 +6841,19 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/edublancas/sklearn-evaluation ``` -- [PyPi](https://pypi.org/project/sklearn-evaluation) (📥 1.5K / month · 📦 5 · ⏱️ 28.12.2020): +- [PyPi](https://pypi.org/project/sklearn-evaluation) (📥 1.6K / month · 📦 5 · ⏱️ 28.12.2020): ``` pip install sklearn-evaluation ```
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FlashTorch (🥉16 · ⭐ 710) - Visualization toolkit for neural networks in PyTorch! Demo --. MIT +
FlashTorch (🥉15 · ⭐ 710) - Visualization toolkit for neural networks in PyTorch! Demo --. MIT - [GitHub](https://github.com/MisaOgura/flashtorch) (👨‍💻 2 · 🔀 88 · 📦 15 · 📋 32 - 31% open · ⏱️ 21.09.2023): ``` git clone https://github.com/MisaOgura/flashtorch ``` -- [PyPi](https://pypi.org/project/flashtorch) (📥 240 / month · ⏱️ 29.05.2020): +- [PyPi](https://pypi.org/project/flashtorch) (📥 250 / month · ⏱️ 29.05.2020): ``` pip install flashtorch ``` @@ -6912,7 +6865,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/interpretml/interpret-text ``` -- [PyPi](https://pypi.org/project/interpret-text) (📥 44 / month · ⏱️ 07.12.2021): +- [PyPi](https://pypi.org/project/interpret-text) (📥 49 / month · ⏱️ 07.12.2021): ``` pip install interpret-text ``` @@ -6921,23 +6874,23 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin - Lime (🥇33 · ⭐ 11K · 💀) - Lime: Explaining the predictions of any machine learning classifier. BSD-2 - Deep Checks (🥈29 · ⭐ 3.1K) - Deepchecks: Tests for Continuous Validation of ML Models &.. ❗️AGPL-3.0 -- scikit-plot (🥈29 · ⭐ 2.4K · 💀) - An intuitive library to add plotting functionality to.. MIT -- eli5 (🥉26 · ⭐ 2.7K · 💀) - A library for debugging/inspecting machine learning classifiers and.. MIT +- scikit-plot (🥈28 · ⭐ 2.4K · 💀) - An intuitive library to add plotting functionality to.. MIT +- eli5 (🥈27 · ⭐ 2.7K · 💀) - A library for debugging/inspecting machine learning classifiers and.. MIT - Lucid (🥉25 · ⭐ 4.6K · 💀) - A collection of infrastructure and tools for research in.. Apache-2 -- DALEX (🥉25 · ⭐ 1.3K) - moDel Agnostic Language for Exploration and eXplanation. ❗️GPL-3.0 -- keras-vis (🥉24 · ⭐ 3K · 💀) - Neural network visualization toolkit for keras. MIT +- keras-vis (🥉25 · ⭐ 3K · 💀) - Neural network visualization toolkit for keras. MIT +- DALEX (🥉24 · ⭐ 1.3K) - moDel Agnostic Language for Exploration and eXplanation. ❗️GPL-3.0 - random-forest-importances (🥉23 · ⭐ 580 · 💀) - Code to compute permutation and drop-column.. MIT - tf-explain (🥉22 · ⭐ 1K · 💀) - Interpretability Methods for tf.keras models with Tensorflow.. MIT - TreeInterpreter (🥉22 · ⭐ 730 · 💀) - Package for interpreting scikit-learns decision tree.. BSD-3 - Quantus (🥉22 · ⭐ 440) - Quantus is an eXplainable AI toolkit for responsible evaluation of.. ❗️GPL-3.0 - deeplift (🥉21 · ⭐ 770 · 💀) - Public facing deeplift repo. MIT -- tcav (🥉20 · ⭐ 590 · 💀) - Code for the TCAV ML interpretability project. Apache-2 +- tcav (🥉19 · ⭐ 600 · 💀) - Code for the TCAV ML interpretability project. Apache-2 - XAI (🥉17 · ⭐ 960 · 💀) - XAI - An eXplainability toolbox for machine learning. MIT - Anchor (🥉16 · ⭐ 760 · 💀) - Code for High-Precision Model-Agnostic Explanations paper. BSD-2 -- Skater (🥉15 · ⭐ 1.1K) - Python Library for Model Interpretation/Explanations. ❗️UPL-1.0 - ExplainX.ai (🥉15 · ⭐ 370 · 💀) - Explainable AI framework for data scientists. Explain & debug any.. MIT +- Skater (🥉14 · ⭐ 1.1K) - Python Library for Model Interpretation/Explanations. ❗️UPL-1.0 - Attribution Priors (🥉12 · ⭐ 120 · 💀) - Tools for training explainable models using.. MIT -- contextual-ai (🥉12 · ⭐ 85 · 💀) - Contextual AI adds explainability to different stages of.. Apache-2 +- contextual-ai (🥉12 · ⭐ 84 · 💀) - Contextual AI adds explainability to different stages of.. Apache-2 - bias-detector (🥉11 · ⭐ 42 · 💀) - Bias Detector is a python package for detecting bias in machine.. MIT

@@ -6952,28 +6905,28 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit
Milvus (🥇41 · ⭐ 24K) - A cloud-native vector database, storage for next generation AI.. Apache-2 -- [GitHub](https://github.com/milvus-io/milvus) (👨‍💻 260 · 🔀 2.5K · 📥 56K · 📋 9.6K - 7% open · ⏱️ 30.11.2023): +- [GitHub](https://github.com/milvus-io/milvus) (👨‍💻 260 · 🔀 2.5K · 📥 57K · 📋 9.7K - 6% open · ⏱️ 07.12.2023): ``` git clone https://github.com/milvus-io/milvus ``` -- [PyPi](https://pypi.org/project/pymilvus) (📥 520K / month · 📦 67 · ⏱️ 14.11.2023): +- [PyPi](https://pypi.org/project/pymilvus) (📥 520K / month · 📦 76 · ⏱️ 04.12.2023): ``` pip install pymilvus ``` -- [Docker Hub](https://hub.docker.com/r/milvusdb/milvus) (📥 8.2M · ⭐ 38 · ⏱️ 30.11.2023): +- [Docker Hub](https://hub.docker.com/r/milvusdb/milvus) (📥 9M · ⭐ 38 · ⏱️ 07.12.2023): ``` docker pull milvusdb/milvus ```
-
Faiss (🥇37 · ⭐ 26K) - A library for efficient similarity search and clustering of dense vectors. MIT +
Faiss (🥇38 · ⭐ 26K) - A library for efficient similarity search and clustering of dense vectors. MIT -- [GitHub](https://github.com/facebookresearch/faiss) (👨‍💻 140 · 🔀 3.1K · 📦 3.3K · 📋 2.2K - 16% open · ⏱️ 30.11.2023): +- [GitHub](https://github.com/facebookresearch/faiss) (👨‍💻 140 · 🔀 3.1K · 📦 3.3K · 📋 2.2K - 16% open · ⏱️ 05.12.2023): ``` git clone https://github.com/facebookresearch/faiss ``` -- [PyPi](https://pypi.org/project/pymilvus) (📥 520K / month · 📦 67 · ⏱️ 14.11.2023): +- [PyPi](https://pypi.org/project/pymilvus) (📥 520K / month · 📦 76 · ⏱️ 04.12.2023): ``` pip install pymilvus ``` @@ -6982,14 +6935,14 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit conda install -c conda-forge faiss ```
-
Annoy (🥈35 · ⭐ 12K) - Approximate Nearest Neighbors in C++/Python optimized for memory usage.. Apache-2 +
Annoy (🥈33 · ⭐ 12K · 📉) - Approximate Nearest Neighbors in C++/Python optimized for memory.. Apache-2 -- [GitHub](https://github.com/spotify/annoy) (👨‍💻 88 · 🔀 1.1K · 📦 3.3K · 📋 400 - 13% open · ⏱️ 20.08.2023): +- [GitHub](https://github.com/spotify/annoy) (👨‍💻 88 · 🔀 1.1K · 📦 3.4K · 📋 400 - 13% open · ⏱️ 20.08.2023): ``` git clone https://github.com/spotify/annoy ``` -- [PyPi](https://pypi.org/project/annoy) (📥 930K / month · 📦 270 · ⏱️ 14.06.2023): +- [PyPi](https://pypi.org/project/annoy) (📥 810K / month · 📦 270 · ⏱️ 14.06.2023): ``` pip install annoy ``` @@ -6998,14 +6951,14 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit conda install -c conda-forge python-annoy ```
-
hnswlib (🥈31 · ⭐ 3.7K · 💤) - Header-only C++/python library for fast approximate nearest.. Apache-2 +
hnswlib (🥈33 · ⭐ 3.7K · 📈) - Header-only C++/python library for fast approximate nearest.. Apache-2 -- [GitHub](https://github.com/nmslib/hnswlib) (👨‍💻 65 · 🔀 520 · 📦 5.5K · 📋 320 - 53% open · ⏱️ 05.02.2023): +- [GitHub](https://github.com/nmslib/hnswlib) (👨‍💻 72 · 🔀 580 · 📦 5.6K · 📋 340 - 56% open · ⏱️ 03.12.2023): ``` git clone https://github.com/nmslib/hnswlib ``` -- [PyPi](https://pypi.org/project/hnswlib) (📥 700K / month · 📦 51 · ⏱️ 05.02.2023): +- [PyPi](https://pypi.org/project/hnswlib) (📥 680K / month · 📦 63 · ⏱️ 03.12.2023): ``` pip install hnswlib ``` @@ -7016,12 +6969,12 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit
PyNNDescent (🥉29 · ⭐ 820) - A Python nearest neighbor descent for approximate nearest neighbors. BSD-2 -- [GitHub](https://github.com/lmcinnes/pynndescent) (👨‍💻 27 · 🔀 100 · 📦 4.9K · 📋 130 - 53% open · ⏱️ 20.11.2023): +- [GitHub](https://github.com/lmcinnes/pynndescent) (👨‍💻 27 · 🔀 100 · 📦 5K · 📋 130 - 53% open · ⏱️ 20.11.2023): ``` git clone https://github.com/lmcinnes/pynndescent ``` -- [PyPi](https://pypi.org/project/pynndescent) (📥 910K / month · 📦 63 · ⏱️ 20.11.2023): +- [PyPi](https://pypi.org/project/pynndescent) (📥 990K / month · 📦 68 · ⏱️ 20.11.2023): ``` pip install pynndescent ``` @@ -7030,9 +6983,9 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit conda install -c conda-forge pynndescent ```
-
USearch (🥉27 · ⭐ 1K) - Fastest Open-Source Search & Clustering engine for Vectors & Strings.. Apache-2 +
USearch (🥉27 · ⭐ 1.1K) - Fastest Open-Source Search & Clustering engine for Vectors & Strings.. Apache-2 -- [GitHub](https://github.com/unum-cloud/usearch) (👨‍💻 26 · 🔀 55 · 📥 700 · 📦 30 · 📋 64 - 21% open · ⏱️ 26.11.2023): +- [GitHub](https://github.com/unum-cloud/usearch) (👨‍💻 26 · 🔀 56 · 📥 730 · 📦 30 · 📋 63 - 20% open · ⏱️ 26.11.2023): ``` git clone https://github.com/unum-cloud/usearch @@ -7041,7 +6994,7 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit ``` pip install usearch ``` -- [npm](https://www.npmjs.com/package/usearch) (📥 5.4K / month · 📦 4 · ⏱️ 26.11.2023): +- [npm](https://www.npmjs.com/package/usearch) (📥 5.7K / month · 📦 4 · ⏱️ 26.11.2023): ``` npm install usearch ``` @@ -7050,14 +7003,14 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit docker pull unum/usearch ```
-
NGT (🥉21 · ⭐ 1.1K) - Nearest Neighbor Search with Neighborhood Graph and Tree for High-.. Apache-2 +
NGT (🥉22 · ⭐ 1.1K) - Nearest Neighbor Search with Neighborhood Graph and Tree for High-.. Apache-2 -- [GitHub](https://github.com/yahoojapan/NGT) (👨‍💻 14 · 🔀 110 · 📋 130 - 13% open · ⏱️ 13.11.2023): +- [GitHub](https://github.com/yahoojapan/NGT) (👨‍💻 14 · 🔀 110 · 📋 130 - 13% open · ⏱️ 06.12.2023): ``` git clone https://github.com/yahoojapan/NGT ``` -- [PyPi](https://pypi.org/project/ngt) (📥 6.6K / month · 📦 8 · ⏱️ 14.11.2023): +- [PyPi](https://pypi.org/project/ngt) (📥 6K / month · 📦 8 · ⏱️ 06.12.2023): ``` pip install ngt ``` @@ -7076,12 +7029,12 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit
N2 (🥉19 · ⭐ 560) - TOROS N2 - lightweight approximate Nearest Neighbor library which runs fast.. Apache-2 -- [GitHub](https://github.com/kakao/n2) (👨‍💻 20 · 🔀 74 · 📦 31 · 📋 35 - 37% open · ⏱️ 27.06.2023): +- [GitHub](https://github.com/kakao/n2) (👨‍💻 20 · 🔀 75 · 📦 31 · 📋 35 - 37% open · ⏱️ 27.06.2023): ``` git clone https://github.com/kakao/n2 ``` -- [PyPi](https://pypi.org/project/n2) (📥 320 / month · 📦 4 · ⏱️ 16.10.2020): +- [PyPi](https://pypi.org/project/n2) (📥 290 / month · 📦 4 · ⏱️ 16.10.2020): ``` pip install n2 ``` @@ -7111,19 +7064,19 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes ``` pip install pymc3 ``` -- [Conda](https://anaconda.org/conda-forge/pymc3) (📥 540K · ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/pymc3) (📥 550K · ⏱️ 16.06.2023): ``` conda install -c conda-forge pymc3 ```
tensorflow-probability (🥇37 · ⭐ 4K) - Probabilistic reasoning and statistical analysis in.. Apache-2 -- [GitHub](https://github.com/tensorflow/probability) (👨‍💻 490 · 🔀 1.1K · 📋 1.4K - 46% open · ⏱️ 29.11.2023): +- [GitHub](https://github.com/tensorflow/probability) (👨‍💻 490 · 🔀 1.1K · 📋 1.4K - 46% open · ⏱️ 06.12.2023): ``` git clone https://github.com/tensorflow/probability ``` -- [PyPi](https://pypi.org/project/tensorflow-probability) (📥 1.3M / month · 📦 440 · ⏱️ 20.11.2023): +- [PyPi](https://pypi.org/project/tensorflow-probability) (📥 1.4M / month · 📦 440 · ⏱️ 20.11.2023): ``` pip install tensorflow-probability ``` @@ -7134,12 +7087,12 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
Pyro (🥇35 · ⭐ 8.2K) - Deep universal probabilistic programming with Python and PyTorch. Apache-2 -- [GitHub](https://github.com/pyro-ppl/pyro) (👨‍💻 140 · 🔀 970 · 📦 1.7K · 📋 1.1K - 22% open · ⏱️ 27.11.2023): +- [GitHub](https://github.com/pyro-ppl/pyro) (👨‍💻 150 · 🔀 970 · 📦 1.8K · 📋 1.1K - 22% open · ⏱️ 06.12.2023): ``` git clone https://github.com/pyro-ppl/pyro ``` -- [PyPi](https://pypi.org/project/pyro-ppl) (📥 310K / month · 📦 92 · ⏱️ 29.07.2023): +- [PyPi](https://pypi.org/project/pyro-ppl) (📥 300K / month · 📦 110 · ⏱️ 29.07.2023): ``` pip install pyro-ppl ``` @@ -7148,42 +7101,42 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes conda install -c conda-forge pyro-ppl ```
-
GPyTorch (🥈31 · ⭐ 3.3K) - A highly efficient implementation of Gaussian Processes in PyTorch. MIT +
patsy (🥈32 · ⭐ 900 · 📈) - Describing statistical models in Python using symbolic formulas. BSD-2 -- [GitHub](https://github.com/cornellius-gp/gpytorch) (👨‍💻 120 · 🔀 500 · 📦 1.7K · 📋 1.3K - 24% open · ⏱️ 13.11.2023): +- [GitHub](https://github.com/pydata/patsy) (👨‍💻 17 · 🔀 100 · 📦 84K · 📋 150 - 48% open · ⏱️ 30.11.2023): ``` - git clone https://github.com/cornellius-gp/gpytorch + git clone https://github.com/pydata/patsy ``` -- [PyPi](https://pypi.org/project/gpytorch) (📥 200K / month · 📦 67 · ⏱️ 02.06.2023): +- [PyPi](https://pypi.org/project/patsy) (📥 10M / month · 📦 2.7K · ⏱️ 30.11.2023): ``` - pip install gpytorch + pip install patsy ``` -- [Conda](https://anaconda.org/conda-forge/gpytorch) (📥 140K · ⏱️ 11.08.2023): +- [Conda](https://anaconda.org/conda-forge/patsy) (📥 9.4M · ⏱️ 01.12.2023): ``` - conda install -c conda-forge gpytorch + conda install -c conda-forge patsy ```
pgmpy (🥈31 · ⭐ 2.5K) - Python Library for learning (Structure and Parameter), inference.. MIT -- [GitHub](https://github.com/pgmpy/pgmpy) (👨‍💻 120 · 🔀 680 · 📥 300 · 📦 780 · 📋 880 - 29% open · ⏱️ 03.11.2023): +- [GitHub](https://github.com/pgmpy/pgmpy) (👨‍💻 120 · 🔀 690 · 📥 300 · 📦 790 · 📋 880 - 29% open · ⏱️ 03.11.2023): ``` git clone https://github.com/pgmpy/pgmpy ``` -- [PyPi](https://pypi.org/project/pgmpy) (📥 57K / month · 📦 31 · ⏱️ 16.10.2023): +- [PyPi](https://pypi.org/project/pgmpy) (📥 59K / month · 📦 32 · ⏱️ 16.10.2023): ``` pip install pgmpy ```
emcee (🥈31 · ⭐ 1.4K) - The Python ensemble sampling toolkit for affine-invariant MCMC. MIT -- [GitHub](https://github.com/dfm/emcee) (👨‍💻 73 · 🔀 430 · 📦 2.1K · 📋 280 - 17% open · ⏱️ 21.11.2023): +- [GitHub](https://github.com/dfm/emcee) (👨‍💻 73 · 🔀 430 · 📦 2.2K · 📋 280 - 17% open · ⏱️ 03.12.2023): ``` git clone https://github.com/dfm/emcee ``` -- [PyPi](https://pypi.org/project/emcee) (📥 100K / month · 📦 360 · ⏱️ 10.05.2022): +- [PyPi](https://pypi.org/project/emcee) (📥 110K / month · 📦 360 · ⏱️ 02.02.2023): ``` pip install emcee ``` @@ -7192,14 +7145,30 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes conda install -c conda-forge emcee ```
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hmmlearn (🥈30 · ⭐ 2.9K · 📈) - Hidden Markov Models in Python, with scikit-learn like API. BSD-3 +
GPyTorch (🥈30 · ⭐ 3.3K) - A highly efficient implementation of Gaussian Processes in PyTorch. MIT + +- [GitHub](https://github.com/cornellius-gp/gpytorch) (👨‍💻 130 · 🔀 500 · 📦 1.7K · 📋 1.3K - 24% open · ⏱️ 02.12.2023): + + ``` + git clone https://github.com/cornellius-gp/gpytorch + ``` +- [PyPi](https://pypi.org/project/gpytorch) (📥 190K / month · 📦 83 · ⏱️ 02.06.2023): + ``` + pip install gpytorch + ``` +- [Conda](https://anaconda.org/conda-forge/gpytorch) (📥 140K · ⏱️ 11.08.2023): + ``` + conda install -c conda-forge gpytorch + ``` +
+
hmmlearn (🥈30 · ⭐ 2.9K) - Hidden Markov Models in Python, with scikit-learn like API. BSD-3 -- [GitHub](https://github.com/hmmlearn/hmmlearn) (👨‍💻 45 · 🔀 730 · 📦 2.1K · 📋 420 - 13% open · ⏱️ 31.08.2023): +- [GitHub](https://github.com/hmmlearn/hmmlearn) (👨‍💻 45 · 🔀 730 · 📦 2.2K · 📋 420 - 13% open · ⏱️ 31.08.2023): ``` git clone https://github.com/hmmlearn/hmmlearn ``` -- [PyPi](https://pypi.org/project/hmmlearn) (📥 170K / month · 📦 140 · ⏱️ 10.02.2022): +- [PyPi](https://pypi.org/project/hmmlearn) (📥 180K / month · 📦 140 · ⏱️ 18.04.2023): ``` pip install hmmlearn ``` @@ -7215,7 +7184,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes ``` git clone https://github.com/SALib/SALib ``` -- [PyPi](https://pypi.org/project/salib) (📥 130K / month · 📦 83 · ⏱️ 22.06.2022): +- [PyPi](https://pypi.org/project/salib) (📥 140K / month · 📦 83 · ⏱️ 08.01.2023): ``` pip install salib ``` @@ -7231,7 +7200,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes ``` git clone https://github.com/jmschrei/pomegranate ``` -- [PyPi](https://pypi.org/project/pomegranate) (📥 22K / month · 📦 58 · ⏱️ 17.09.2023): +- [PyPi](https://pypi.org/project/pomegranate) (📥 23K / month · 📦 58 · ⏱️ 17.09.2023): ``` pip install pomegranate ``` @@ -7247,7 +7216,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes ``` git clone https://github.com/GPflow/GPflow ``` -- [PyPi](https://pypi.org/project/gpflow) (📥 47K / month · 📦 36 · ⏱️ 09.08.2023): +- [PyPi](https://pypi.org/project/gpflow) (📥 48K / month · 📦 36 · ⏱️ 09.08.2023): ``` pip install gpflow ``` @@ -7256,14 +7225,14 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes conda install -c conda-forge gpflow ```
-
bambi (🥉27 · ⭐ 950) - BAyesian Model-Building Interface (Bambi) in Python. MIT +
bambi (🥉27 · ⭐ 960) - BAyesian Model-Building Interface (Bambi) in Python. MIT -- [GitHub](https://github.com/bambinos/bambi) (👨‍💻 35 · 🔀 110 · 📦 99 · 📋 370 - 18% open · ⏱️ 28.11.2023): +- [GitHub](https://github.com/bambinos/bambi) (👨‍💻 35 · 🔀 110 · 📦 100 · 📋 370 - 18% open · ⏱️ 06.12.2023): ``` git clone https://github.com/bambinos/bambi ``` -- [PyPi](https://pypi.org/project/bambi) (📥 17K / month · 📦 9 · ⏱️ 25.10.2023): +- [PyPi](https://pypi.org/project/bambi) (📥 19K / month · 📦 9 · ⏱️ 25.10.2023): ``` pip install bambi ``` @@ -7274,12 +7243,12 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
Baal (🥉25 · ⭐ 800) - Library to enable Bayesian active learning in your research or labeling.. Apache-2 -- [GitHub](https://github.com/baal-org/baal) (👨‍💻 21 · 🔀 81 · 📦 52 · 📋 110 - 22% open · ⏱️ 04.11.2023): +- [GitHub](https://github.com/baal-org/baal) (👨‍💻 21 · 🔀 81 · 📦 52 · 📋 110 - 22% open · ⏱️ 02.12.2023): ``` git clone https://github.com/baal-org/baal ``` -- [PyPi](https://pypi.org/project/baal) (📥 2.2K / month · 📦 1 · ⏱️ 02.10.2023): +- [PyPi](https://pypi.org/project/baal) (📥 2.4K / month · 📦 1 · ⏱️ 02.10.2023): ``` pip install baal ``` @@ -7290,12 +7259,12 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
scikit-posthocs (🥉25 · ⭐ 300) - Multiple Pairwise Comparisons (Post Hoc) Tests in Python. MIT -- [GitHub](https://github.com/maximtrp/scikit-posthocs) (👨‍💻 13 · 🔀 37 · 📥 39 · 📦 550 · 📋 51 - 11% open · ⏱️ 06.11.2023): +- [GitHub](https://github.com/maximtrp/scikit-posthocs) (👨‍💻 13 · 🔀 37 · 📥 39 · 📦 550 · 📋 52 - 11% open · ⏱️ 06.11.2023): ``` git clone https://github.com/maximtrp/scikit-posthocs ``` -- [PyPi](https://pypi.org/project/scikit-posthocs) (📥 69K / month · 📦 27 · ⏱️ 06.11.2023): +- [PyPi](https://pypi.org/project/scikit-posthocs) (📥 67K / month · 📦 29 · ⏱️ 06.11.2023): ``` pip install scikit-posthocs ``` @@ -7306,22 +7275,21 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
Orbit (🥉22 · ⭐ 1.8K) - A Python package for Bayesian forecasting with object-oriented design.. Apache-2 -- [GitHub](https://github.com/uber/orbit) (👨‍💻 18 · 🔀 130 · 📦 41 · 📋 390 - 16% open · ⏱️ 26.09.2023): +- [GitHub](https://github.com/uber/orbit) (👨‍💻 18 · 🔀 130 · 📦 42 · 📋 390 - 16% open · ⏱️ 26.09.2023): ``` git clone https://github.com/uber/orbit ``` -- [PyPi](https://pypi.org/project/orbit-ml) (📥 36K / month · 📦 1 · ⏱️ 29.01.2023): +- [PyPi](https://pypi.org/project/orbit-ml) (📥 29K / month · 📦 1 · ⏱️ 29.01.2023): ``` pip install orbit-ml ```
-
Show 9 hidden projects... +
Show 8 hidden projects... - filterpy (🥈32 · ⭐ 3K · 💀) - Python Kalman filtering and optimal estimation library. Implements.. MIT - pandas-ta (🥈30 · ⭐ 4.2K · 💀) - Technical Analysis Indicators - Pandas TA is an easy to use.. MIT - pingouin (🥈30 · ⭐ 1.4K) - Statistical package in Python based on Pandas. ❗️GPL-3.0 -- patsy (🥈30 · ⭐ 900 · 💀) - Describing statistical models in Python using symbolic formulas. BSD-2 - Edward (🥉28 · ⭐ 4.8K · 💀) - A probabilistic programming language in TensorFlow. Deep.. Apache-2 - PyStan (🥉25 · ⭐ 290) - PyStan, a Python interface to Stan, a platform for statistical modeling... ISC - Funsor (🥉21 · ⭐ 220) - Functional tensors for probabilistic programming. Apache-2 @@ -7338,12 +7306,12 @@ _Libraries for testing the robustness of machine learning models against attacks
ART (🥇33 · ⭐ 4.2K) - Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning.. MIT -- [GitHub](https://github.com/Trusted-AI/adversarial-robustness-toolbox) (👨‍💻 130 · 🔀 1.1K · 📦 450 · 📋 860 - 13% open · ⏱️ 17.11.2023): +- [GitHub](https://github.com/Trusted-AI/adversarial-robustness-toolbox) (👨‍💻 130 · 🔀 1.1K · 📦 460 · 📋 860 - 13% open · ⏱️ 30.11.2023): ``` git clone https://github.com/Trusted-AI/adversarial-robustness-toolbox ``` -- [PyPi](https://pypi.org/project/adversarial-robustness-toolbox) (📥 28K / month · 📦 9 · ⏱️ 22.09.2023): +- [PyPi](https://pypi.org/project/adversarial-robustness-toolbox) (📥 29K / month · 📦 9 · ⏱️ 22.09.2023): ``` pip install adversarial-robustness-toolbox ``` @@ -7354,12 +7322,12 @@ _Libraries for testing the robustness of machine learning models against attacks
TextAttack (🥈30 · ⭐ 2.6K) - TextAttack is a Python framework for adversarial attacks, data.. MIT -- [GitHub](https://github.com/QData/TextAttack) (👨‍💻 61 · 🔀 340 · 📦 210 · 📋 260 - 17% open · ⏱️ 11.11.2023): +- [GitHub](https://github.com/QData/TextAttack) (👨‍💻 61 · 🔀 340 · 📦 220 · 📋 260 - 17% open · ⏱️ 11.11.2023): ``` git clone https://github.com/QData/TextAttack ``` -- [PyPi](https://pypi.org/project/textattack) (📥 4.5K / month · 📦 5 · ⏱️ 11.09.2023): +- [PyPi](https://pypi.org/project/textattack) (📥 4.4K / month · 📦 5 · ⏱️ 11.09.2023): ``` pip install textattack ``` @@ -7370,12 +7338,12 @@ _Libraries for testing the robustness of machine learning models against attacks
CleverHans (🥈29 · ⭐ 6K · 💤) - An adversarial example library for constructing attacks,.. MIT -- [GitHub](https://github.com/cleverhans-lab/cleverhans) (👨‍💻 130 · 🔀 1.4K · 📦 550 · 📋 460 - 8% open · ⏱️ 31.01.2023): +- [GitHub](https://github.com/cleverhans-lab/cleverhans) (👨‍💻 130 · 🔀 1.4K · 📦 560 · 📋 460 - 8% open · ⏱️ 31.01.2023): ``` git clone https://github.com/cleverhans-lab/cleverhans ``` -- [PyPi](https://pypi.org/project/cleverhans) (📥 1.2K / month · 📦 12 · ⏱️ 24.07.2021): +- [PyPi](https://pypi.org/project/cleverhans) (📥 1.3K / month · 📦 12 · ⏱️ 24.07.2021): ``` pip install cleverhans ``` @@ -7391,7 +7359,7 @@ _Libraries for testing the robustness of machine learning models against attacks ``` git clone https://github.com/bethgelab/foolbox ``` -- [PyPi](https://pypi.org/project/foolbox) (📥 2K / month · 📦 14 · ⏱️ 02.04.2022): +- [PyPi](https://pypi.org/project/foolbox) (📥 1.9K / month · 📦 14 · ⏱️ 02.04.2022): ``` pip install foolbox ``` @@ -7402,7 +7370,7 @@ _Libraries for testing the robustness of machine learning models against attacks
Show 5 hidden projects... -- advertorch (🥉23 · ⭐ 1.2K · 💀) - A Toolbox for Adversarial Robustness Research. ❗️GPL-3.0 +- advertorch (🥉22 · ⭐ 1.2K · 💀) - A Toolbox for Adversarial Robustness Research. ❗️GPL-3.0 - AdvBox (🥉18 · ⭐ 1.3K · 💀) - Advbox is a toolbox to generate adversarial examples that fool.. Apache-2 - robustness (🥉18 · ⭐ 850 · 💀) - A library for experimenting with, training and evaluating neural.. MIT - textflint (🥉16 · ⭐ 620 · 💀) - Unified Multilingual Robustness Evaluation Toolkit for.. ❗️GPL-3.0 @@ -7416,62 +7384,42 @@ _Libraries for testing the robustness of machine learning models against attacks _Libraries that require and make use of CUDA/GPU or other accelerator hardware capabilities to optimize machine learning tasks._ -
CuPy (🥇38 · ⭐ 7.4K · 📈) - NumPy & SciPy for GPU. MIT - -- [GitHub](https://github.com/cupy/cupy) (👨‍💻 350 · 🔀 700 · 📥 170K · 📦 1.8K · 📋 2.1K - 24% open · ⏱️ 30.11.2023): - - ``` - git clone https://github.com/cupy/cupy - ``` -- [PyPi](https://pypi.org/project/cupy) (📥 23K / month · 📦 200 · ⏱️ 08.08.2023): - ``` - pip install cupy - ``` -- [Conda](https://anaconda.org/conda-forge/cupy) (📥 3.2M · ⏱️ 17.11.2023): - ``` - conda install -c conda-forge cupy - ``` -- [Docker Hub](https://hub.docker.com/r/cupy/cupy) (📥 58K · ⭐ 11 · ⏱️ 15.08.2023): - ``` - docker pull cupy/cupy - ``` -
optimum (🥇34 · ⭐ 1.8K) - Accelerate training and inference of Transformers and Diffusers with.. Apache-2 -- [GitHub](https://github.com/huggingface/optimum) (👨‍💻 86 · 🔀 290 · 📦 980 · 📋 580 - 44% open · ⏱️ 24.11.2023): +- [GitHub](https://github.com/huggingface/optimum) (👨‍💻 86 · 🔀 290 · 📦 1K · 📋 600 - 46% open · ⏱️ 07.12.2023): ``` git clone https://github.com/huggingface/optimum ``` -- [PyPi](https://pypi.org/project/optimum) (📥 610K / month · 📦 44 · ⏱️ 14.11.2023): +- [PyPi](https://pypi.org/project/optimum) (📥 710K / month · 📦 53 · ⏱️ 06.12.2023): ``` pip install optimum ``` -- [Conda](https://anaconda.org/conda-forge/optimum) (📥 10K · ⏱️ 15.11.2023): +- [Conda](https://anaconda.org/conda-forge/optimum) (📥 10K · ⏱️ 06.12.2023): ``` conda install -c conda-forge optimum ```
-
cuDF (🥈33 · ⭐ 6.6K) - cuDF - GPU DataFrame Library. Apache-2 +
cuDF (🥇33 · ⭐ 6.7K) - cuDF - GPU DataFrame Library. Apache-2 -- [GitHub](https://github.com/rapidsai/cudf) (👨‍💻 260 · 🔀 770 · 📦 49 · 📋 5.8K - 15% open · ⏱️ 30.11.2023): +- [GitHub](https://github.com/rapidsai/cudf) (👨‍💻 260 · 🔀 770 · 📦 49 · 📋 5.8K - 15% open · ⏱️ 07.12.2023): ``` git clone https://github.com/rapidsai/cudf ``` -- [PyPi](https://pypi.org/project/cudf) (📥 4.6K / month · 📦 9 · ⏱️ 01.06.2020): +- [PyPi](https://pypi.org/project/cudf) (📥 4.9K / month · 📦 9 · ⏱️ 01.06.2020): ``` pip install cudf ```
-
gpustat (🥈31 · ⭐ 3.6K) - A simple command-line utility for querying and monitoring GPU status. MIT +
gpustat (🥈31 · ⭐ 3.7K) - A simple command-line utility for querying and monitoring GPU status. MIT -- [GitHub](https://github.com/wookayin/gpustat) (👨‍💻 17 · 🔀 260 · 📦 4.3K · 📋 120 - 23% open · ⏱️ 24.11.2023): +- [GitHub](https://github.com/wookayin/gpustat) (👨‍💻 17 · 🔀 270 · 📦 4.4K · 📋 120 - 21% open · ⏱️ 24.11.2023): ``` git clone https://github.com/wookayin/gpustat ``` -- [PyPi](https://pypi.org/project/gpustat) (📥 1.1M / month · 📦 130 · ⏱️ 22.08.2023): +- [PyPi](https://pypi.org/project/gpustat) (📥 1M / month · 📦 130 · ⏱️ 22.08.2023): ``` pip install gpustat ``` @@ -7494,12 +7442,12 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c
cuML (🥈30 · ⭐ 3.7K) - cuML - RAPIDS Machine Learning Library. Apache-2 -- [GitHub](https://github.com/rapidsai/cuml) (👨‍💻 170 · 🔀 480 · 📋 2.3K - 34% open · ⏱️ 29.11.2023): +- [GitHub](https://github.com/rapidsai/cuml) (👨‍💻 170 · 🔀 480 · 📋 2.3K - 34% open · ⏱️ 06.12.2023): ``` git clone https://github.com/rapidsai/cuml ``` -- [PyPi](https://pypi.org/project/cuml) (📥 2.3K / month · 📦 5 · ⏱️ 01.06.2020): +- [PyPi](https://pypi.org/project/cuml) (📥 2.5K / month · 📦 5 · ⏱️ 01.06.2020): ``` pip install cuml ``` @@ -7515,19 +7463,19 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c ``` pip install pycuda ``` -- [Conda](https://anaconda.org/conda-forge/pycuda) (📥 260K · ⏱️ 11.11.2023): +- [Conda](https://anaconda.org/conda-forge/pycuda) (📥 270K · ⏱️ 11.11.2023): ``` conda install -c conda-forge pycuda ```
-
cuGraph (🥈27 · ⭐ 1.4K) - cuGraph - RAPIDS Graph Analytics Library. Apache-2 +
cuGraph (🥈27 · ⭐ 1.5K) - cuGraph - RAPIDS Graph Analytics Library. Apache-2 -- [GitHub](https://github.com/rapidsai/cugraph) (👨‍💻 110 · 🔀 260 · 📦 2 · 📋 1.6K - 18% open · ⏱️ 28.11.2023): +- [GitHub](https://github.com/rapidsai/cugraph) (👨‍💻 110 · 🔀 260 · 📦 2 · 📋 1.6K - 18% open · ⏱️ 07.12.2023): ``` git clone https://github.com/rapidsai/cugraph ``` -- [PyPi](https://pypi.org/project/cugraph) (📥 310 / month · 📦 2 · ⏱️ 01.06.2020): +- [PyPi](https://pypi.org/project/cugraph) (📥 370 / month · 📦 2 · ⏱️ 01.06.2020): ``` pip install cugraph ``` @@ -7536,21 +7484,41 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c conda install -c conda-forge libcugraph ```
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ArrayFire (🥉26 · ⭐ 4.3K) - ArrayFire: a general purpose GPU library. BSD-3 +
CuPy (🥈26 · ⭐ 7.4K · 📉) - NumPy & SciPy for GPU. MIT + +- [GitHub](https://github.com/cupy/cupy) (👨‍💻 300 · 🔀 720): + + ``` + git clone https://github.com/cupy/cupy + ``` +- [PyPi](https://pypi.org/project/cupy) (📥 24K / month · 📦 200 · ⏱️ 07.12.2023): + ``` + pip install cupy + ``` +- [Conda](https://anaconda.org/conda-forge/cupy) (📥 3.2M · ⏱️ 17.11.2023): + ``` + conda install -c conda-forge cupy + ``` +- [Docker Hub](https://hub.docker.com/r/cupy/cupy) (📥 58K · ⭐ 11 · ⏱️ 07.12.2023): + ``` + docker pull cupy/cupy + ``` +
+
ArrayFire (🥈26 · ⭐ 4.3K) - ArrayFire: a general purpose GPU library. BSD-3 -- [GitHub](https://github.com/arrayfire/arrayfire) (👨‍💻 88 · 🔀 510 · 📥 4.8K · 📋 1.6K - 18% open · ⏱️ 05.10.2023): +- [GitHub](https://github.com/arrayfire/arrayfire) (👨‍💻 88 · 🔀 510 · 📥 4.9K · 📋 1.6K - 18% open · ⏱️ 05.10.2023): ``` git clone https://github.com/arrayfire/arrayfire ``` -- [PyPi](https://pypi.org/project/arrayfire) (📥 940 / month · 📦 7 · ⏱️ 22.02.2022): +- [PyPi](https://pypi.org/project/arrayfire) (📥 920 / month · 📦 7 · ⏱️ 22.02.2022): ``` pip install arrayfire ```
DALI (🥉25 · ⭐ 4.7K) - A GPU-accelerated library containing highly optimized building blocks.. Apache-2 -- [GitHub](https://github.com/NVIDIA/DALI) (👨‍💻 87 · 🔀 590 · 📋 1.5K - 18% open · ⏱️ 30.11.2023): +- [GitHub](https://github.com/NVIDIA/DALI) (👨‍💻 87 · 🔀 600 · 📋 1.5K - 18% open · ⏱️ 07.12.2023): ``` git clone https://github.com/NVIDIA/DALI @@ -7563,7 +7531,7 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c ``` git clone https://github.com/lebedov/scikit-cuda ``` -- [PyPi](https://pypi.org/project/scikit-cuda) (📥 740 / month · 📦 49 · ⏱️ 27.05.2019): +- [PyPi](https://pypi.org/project/scikit-cuda) (📥 750 / month · 📦 50 · ⏱️ 27.05.2019): ``` pip install scikit-cuda ``` @@ -7575,7 +7543,7 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c ``` git clone https://github.com/KomputeProject/kompute ``` -- [PyPi](https://pypi.org/project/kp) (📥 130 / month · ⏱️ 13.04.2022): +- [PyPi](https://pypi.org/project/kp) (📥 120 / month · ⏱️ 13.04.2022): ``` pip install kp ``` @@ -7587,12 +7555,12 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c ``` git clone https://github.com/NVIDIA-Merlin/Merlin ``` -- [PyPi](https://pypi.org/project/merlin-core) (📥 5.3K / month · 📦 1 · ⏱️ 29.08.2023): +- [PyPi](https://pypi.org/project/merlin-core) (📥 4.7K / month · 📦 1 · ⏱️ 29.08.2023): ``` pip install merlin-core ```
-
cuSignal (🥉17 · ⭐ 700) - GPU accelerated signal processing. Apache-2 +
cuSignal (🥉16 · ⭐ 700) - GPU accelerated signal processing. Apache-2 - [GitHub](https://github.com/rapidsai/cusignal) (👨‍💻 46 · 🔀 120 · 📋 160 - 16% open · ⏱️ 21.09.2023): @@ -7603,7 +7571,7 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c
Show 6 hidden projects... - GPUtil (🥉24 · ⭐ 1K · 💀) - A Python module for getting the GPU status from NVIDA GPUs using nvidia-.. MIT -- py3nvml (🥉23 · ⭐ 230 · 💀) - Python 3 Bindings for NVML library. Get NVIDIA GPU status inside.. BSD-3 +- py3nvml (🥉22 · ⭐ 230 · 💀) - Python 3 Bindings for NVML library. Get NVIDIA GPU status inside.. BSD-3 - BlazingSQL (🥉20 · ⭐ 1.9K · 💀) - BlazingSQL is a lightweight, GPU accelerated, SQL engine for.. Apache-2 - nvidia-ml-py3 (🥉18 · ⭐ 120 · 💀) - Python 3 Bindings for the NVIDIA Management Library. BSD-3 - SpeedTorch (🥉15 · ⭐ 670 · 💀) - Library for faster pinned CPU - GPU transfer in Pytorch. MIT @@ -7617,9 +7585,9 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c _Libraries that extend TensorFlow with additional capabilities._ -
TensorFlow Datasets (🥇38 · ⭐ 4K) - TFDS is a collection of datasets ready to use with.. Apache-2 +
TensorFlow Datasets (🥇38 · ⭐ 4.1K) - TFDS is a collection of datasets ready to use with.. Apache-2 -- [GitHub](https://github.com/tensorflow/datasets) (👨‍💻 300 · 🔀 1.5K · 📦 15K · 📋 1.4K - 48% open · ⏱️ 29.11.2023): +- [GitHub](https://github.com/tensorflow/datasets) (👨‍💻 300 · 🔀 1.5K · 📦 15K · 📋 1.3K - 47% open · ⏱️ 06.12.2023): ``` git clone https://github.com/tensorflow/datasets @@ -7640,7 +7608,7 @@ _Libraries that extend TensorFlow with additional capabilities._ ``` git clone https://github.com/tensorflow/addons ``` -- [PyPi](https://pypi.org/project/tensorflow-addons) (📥 800K / month · 📦 220 · ⏱️ 28.11.2023): +- [PyPi](https://pypi.org/project/tensorflow-addons) (📥 830K / month · 📦 220 · ⏱️ 28.11.2023): ``` pip install tensorflow-addons ``` @@ -7652,7 +7620,7 @@ _Libraries that extend TensorFlow with additional capabilities._ ``` git clone https://github.com/tensorflow/hub ``` -- [PyPi](https://pypi.org/project/tensorflow-hub) (📥 2.2M / month · 📦 330 · ⏱️ 06.10.2023): +- [PyPi](https://pypi.org/project/tensorflow-hub) (📥 2.2M / month · 📦 340 · ⏱️ 06.10.2023): ``` pip install tensorflow-hub ``` @@ -7668,14 +7636,14 @@ _Libraries that extend TensorFlow with additional capabilities._ ``` git clone https://github.com/tensorflow/tensor2tensor ``` -- [PyPi](https://pypi.org/project/tensor2tensor) (📥 4.7K / month · 📦 90 · ⏱️ 21.06.2017): +- [PyPi](https://pypi.org/project/tensor2tensor) (📥 4.9K / month · 📦 90 · ⏱️ 17.06.2020): ``` pip install tensor2tensor ```
TFX (🥈32 · ⭐ 2K) - TFX is an end-to-end platform for deploying production ML pipelines. Apache-2 -- [GitHub](https://github.com/tensorflow/tfx) (👨‍💻 180 · 🔀 670 · 📋 940 - 9% open · ⏱️ 30.11.2023): +- [GitHub](https://github.com/tensorflow/tfx) (👨‍💻 180 · 🔀 670 · 📋 940 - 9% open · ⏱️ 07.12.2023): ``` git clone https://github.com/tensorflow/tfx @@ -7692,14 +7660,14 @@ _Libraries that extend TensorFlow with additional capabilities._ ``` git clone https://github.com/tensorflow/model-optimization ``` -- [PyPi](https://pypi.org/project/tensorflow-model-optimization) (📥 530K / month · 📦 30 · ⏱️ 26.05.2023): +- [PyPi](https://pypi.org/project/tensorflow-model-optimization) (📥 580K / month · 📦 30 · ⏱️ 26.05.2023): ``` pip install tensorflow-model-optimization ```
TensorFlow Transform (🥈31 · ⭐ 970) - Input pipeline framework. Apache-2 -- [GitHub](https://github.com/tensorflow/transform) (👨‍💻 27 · 🔀 210 · 📦 1.5K · 📋 220 - 20% open · ⏱️ 24.10.2023): +- [GitHub](https://github.com/tensorflow/transform) (👨‍💻 27 · 🔀 210 · 📦 1.6K · 📋 220 - 20% open · ⏱️ 06.12.2023): ``` git clone https://github.com/tensorflow/transform @@ -7716,14 +7684,14 @@ _Libraries that extend TensorFlow with additional capabilities._ ``` git clone https://github.com/tensorflow/io ``` -- [PyPi](https://pypi.org/project/tensorflow-io) (📥 2.9M / month · 📦 33 · ⏱️ 08.09.2023): +- [PyPi](https://pypi.org/project/tensorflow-io) (📥 3.2M / month · 📦 35 · ⏱️ 08.09.2023): ``` pip install tensorflow-io ```
-
Neural Structured Learning (🥉25 · ⭐ 970) - Training neural models with structured signals. Apache-2 +
Neural Structured Learning (🥉24 · ⭐ 970) - Training neural models with structured signals. Apache-2 -- [GitHub](https://github.com/tensorflow/neural-structured-learning) (👨‍💻 38 · 🔀 190 · 📦 390 · 📋 69 - 1% open · ⏱️ 20.09.2023): +- [GitHub](https://github.com/tensorflow/neural-structured-learning) (👨‍💻 38 · 🔀 190 · 📦 400 · 📋 69 - 1% open · ⏱️ 20.09.2023): ``` git clone https://github.com/tensorflow/neural-structured-learning @@ -7740,19 +7708,19 @@ _Libraries that extend TensorFlow with additional capabilities._ ``` git clone https://github.com/tensorflow/cloud ``` -- [PyPi](https://pypi.org/project/tensorflow-cloud) (📥 45K / month · 📦 7 · ⏱️ 17.06.2021): +- [PyPi](https://pypi.org/project/tensorflow-cloud) (📥 43K / month · 📦 7 · ⏱️ 17.06.2021): ``` pip install tensorflow-cloud ```
TF Compression (🥉23 · ⭐ 790) - Data compression in TensorFlow. Apache-2 -- [GitHub](https://github.com/tensorflow/compression) (👨‍💻 21 · 🔀 240 · 📋 98 - 7% open · ⏱️ 12.10.2023): +- [GitHub](https://github.com/tensorflow/compression) (👨‍💻 21 · 🔀 240 · 📋 99 - 8% open · ⏱️ 12.10.2023): ``` git clone https://github.com/tensorflow/compression ``` -- [PyPi](https://pypi.org/project/tensorflow-compression) (📥 10K / month · 📦 2 · ⏱️ 12.10.2023): +- [PyPi](https://pypi.org/project/tensorflow-compression) (📥 11K / month · 📦 2 · ⏱️ 12.10.2023): ``` pip install tensorflow-compression ``` @@ -7760,7 +7728,7 @@ _Libraries that extend TensorFlow with additional capabilities._
Show 5 hidden projects... - Keras-Preprocessing (🥉29 · ⭐ 1K · 💀) - Utilities for working with image data, text data, and.. MIT -- efficientnet (🥉25 · ⭐ 2K · 💀) - Implementation of EfficientNet model. Keras and.. Apache-2 +- efficientnet (🥉26 · ⭐ 2K · 💀) - Implementation of EfficientNet model. Keras and.. Apache-2 - TensorNets (🥉21 · ⭐ 1K · 💀) - High level network definitions with pre-trained weights in.. MIT - Saliency (🥉21 · ⭐ 910 · 💀) - Framework-agnostic implementation for state-of-the-art.. Apache-2 - tffm (🥉18 · ⭐ 780 · 💀) - TensorFlow implementation of an arbitrary order Factorization Machine. MIT @@ -7775,12 +7743,12 @@ _Libraries that extend Jax with additional capabilities._
equinox (🥇30 · ⭐ 1.5K) - Elegant easy-to-use neural networks + scientific computing in.. Apache-2 -- [GitHub](https://github.com/patrick-kidger/equinox) (👨‍💻 42 · 🔀 99 · 📦 320 · 📋 280 - 27% open · ⏱️ 27.11.2023): +- [GitHub](https://github.com/patrick-kidger/equinox) (👨‍💻 43 · 🔀 100 · 📦 320 · 📋 280 - 27% open · ⏱️ 30.11.2023): ``` git clone https://github.com/patrick-kidger/equinox ``` -- [PyPi](https://pypi.org/project/equinox) (📥 38K / month · 📦 44 · ⏱️ 13.11.2023): +- [PyPi](https://pypi.org/project/equinox) (📥 43K / month · 📦 44 · ⏱️ 13.11.2023): ``` pip install equinox ``` @@ -7792,7 +7760,7 @@ _Libraries that extend Jax with additional capabilities._ ``` git clone https://github.com/google/evojax ``` -- [PyPi](https://pypi.org/project/evojax) (📥 680 / month · 📦 2 · ⏱️ 29.08.2023): +- [PyPi](https://pypi.org/project/evojax) (📥 720 / month · 📦 2 · ⏱️ 29.08.2023): ``` pip install evojax ``` @@ -7803,7 +7771,7 @@ _Libraries that extend Jax with additional capabilities._
Show 1 hidden projects... -- jaxdf (🥉14 · ⭐ 98) - A JAX-based research framework for writing differentiable.. ❗️LGPL-3.0 +- jaxdf (🥉14 · ⭐ 99) - A JAX-based research framework for writing differentiable.. ❗️LGPL-3.0

@@ -7813,14 +7781,14 @@ _Libraries that extend Jax with additional capabilities._ _Libraries that extend scikit-learn with additional capabilities._ -
imbalanced-learn (🥇36 · ⭐ 6.6K) - A Python Package to Tackle the Curse of Imbalanced.. MIT +
imbalanced-learn (🥇35 · ⭐ 6.6K) - A Python Package to Tackle the Curse of Imbalanced.. MIT - [GitHub](https://github.com/scikit-learn-contrib/imbalanced-learn) (👨‍💻 80 · 🔀 1.2K · 📦 22K · 📋 570 - 6% open · ⏱️ 23.10.2023): ``` git clone https://github.com/scikit-learn-contrib/imbalanced-learn ``` -- [PyPi](https://pypi.org/project/imbalanced-learn) (📥 6.1M / month · 📦 340 · ⏱️ 08.07.2023): +- [PyPi](https://pypi.org/project/imbalanced-learn) (📥 6.2M / month · 📦 340 · ⏱️ 08.07.2023): ``` pip install imbalanced-learn ``` @@ -7836,7 +7804,7 @@ _Libraries that extend scikit-learn with additional capabilities._ ``` git clone https://github.com/rasbt/mlxtend ``` -- [PyPi](https://pypi.org/project/mlxtend) (📥 840K / month · 📦 190 · ⏱️ 25.09.2023): +- [PyPi](https://pypi.org/project/mlxtend) (📥 820K / month · 📦 190 · ⏱️ 25.09.2023): ``` pip install mlxtend ``` @@ -7847,12 +7815,12 @@ _Libraries that extend scikit-learn with additional capabilities._
scikit-learn-intelex (🥇34 · ⭐ 1.1K) - Intel(R) Extension for Scikit-learn is a seamless way.. Apache-2 -- [GitHub](https://github.com/intel/scikit-learn-intelex) (👨‍💻 77 · 🔀 170 · 📦 8.7K · 📋 220 - 25% open · ⏱️ 28.11.2023): +- [GitHub](https://github.com/intel/scikit-learn-intelex) (👨‍💻 77 · 🔀 170 · 📦 8.8K · 📋 230 - 25% open · ⏱️ 07.12.2023): ``` git clone https://github.com/intel/scikit-learn-intelex ``` -- [PyPi](https://pypi.org/project/scikit-learn-intelex) (📥 290K / month · 📦 23 · ⏱️ 28.11.2023): +- [PyPi](https://pypi.org/project/scikit-learn-intelex) (📥 290K / month · 📦 24 · ⏱️ 28.11.2023): ``` pip install scikit-learn-intelex ``` @@ -7863,12 +7831,12 @@ _Libraries that extend scikit-learn with additional capabilities._
category_encoders (🥈33 · ⭐ 2.3K) - A library of sklearn compatible categorical variable.. BSD-3 -- [GitHub](https://github.com/scikit-learn-contrib/category_encoders) (👨‍💻 67 · 🔀 390 · 📦 1.2K · 📋 280 - 15% open · ⏱️ 11.11.2023): +- [GitHub](https://github.com/scikit-learn-contrib/category_encoders) (👨‍💻 69 · 🔀 390 · 📦 1.3K · 📋 280 - 15% open · ⏱️ 03.12.2023): ``` git clone https://github.com/scikit-learn-contrib/category_encoders ``` -- [PyPi](https://pypi.org/project/category_encoders) (📥 1.4M / month · 📦 160 · ⏱️ 29.10.2023): +- [PyPi](https://pypi.org/project/category_encoders) (📥 1.4M / month · 📦 170 · ⏱️ 29.10.2023): ``` pip install category_encoders ``` @@ -7884,7 +7852,7 @@ _Libraries that extend scikit-learn with additional capabilities._ ``` git clone https://github.com/koaning/scikit-lego ``` -- [PyPi](https://pypi.org/project/scikit-lego) (📥 30K / month · 📦 8 · ⏱️ 17.10.2023): +- [PyPi](https://pypi.org/project/scikit-lego) (📥 33K / month · 📦 8 · ⏱️ 17.10.2023): ``` pip install scikit-lego ``` @@ -7893,14 +7861,14 @@ _Libraries that extend scikit-learn with additional capabilities._ conda install -c conda-forge scikit-lego ```
-
scikit-multilearn (🥉26 · ⭐ 880 · 💤) - A scikit-learn based module for multi-label et. al... BSD-2 +
scikit-multilearn (🥈26 · ⭐ 880 · 💤) - A scikit-learn based module for multi-label et. al... BSD-2 - [GitHub](https://github.com/scikit-multilearn/scikit-multilearn) (👨‍💻 28 · 🔀 170 · 📦 1.3K · 📋 210 - 41% open · ⏱️ 19.04.2023): ``` git clone https://github.com/scikit-multilearn/scikit-multilearn ``` -- [PyPi](https://pypi.org/project/scikit-multilearn) (📥 53K / month · 📦 24 · ⏱️ 10.12.2018): +- [PyPi](https://pypi.org/project/scikit-multilearn) (📥 60K / month · 📦 24 · ⏱️ 10.12.2018): ``` pip install scikit-multilearn ``` @@ -7912,7 +7880,7 @@ _Libraries that extend scikit-learn with additional capabilities._ ``` git clone https://github.com/guofei9987/scikit-opt ``` -- [PyPi](https://pypi.org/project/scikit-opt) (📥 3.5K / month · 📦 8 · ⏱️ 14.01.2022): +- [PyPi](https://pypi.org/project/scikit-opt) (📥 3.2K / month · 📦 8 · ⏱️ 14.01.2022): ``` pip install scikit-opt ``` @@ -7924,7 +7892,7 @@ _Libraries that extend scikit-learn with additional capabilities._ ``` git clone https://github.com/yzhao062/combo ``` -- [PyPi](https://pypi.org/project/combo) (📥 110K / month · 📦 5 · ⏱️ 02.04.2022): +- [PyPi](https://pypi.org/project/combo) (📥 94K / month · 📦 8 · ⏱️ 02.04.2022): ``` pip install combo ``` @@ -7936,23 +7904,23 @@ _Libraries that extend scikit-learn with additional capabilities._ ``` git clone https://github.com/scikit-learn-contrib/DESlib ``` -- [PyPi](https://pypi.org/project/deslib) (📥 980 / month · 📦 2 · ⏱️ 08.02.2021): +- [PyPi](https://pypi.org/project/deslib) (📥 1.1K / month · 📦 2 · ⏱️ 08.02.2021): ``` pip install deslib ```
Show 10 hidden projects... -- scikit-survival (🥈28 · ⭐ 1K) - Survival analysis built on top of scikit-learn. ❗️GPL-3.0 - fancyimpute (🥈27 · ⭐ 1.2K · 💀) - Multivariate imputation and matrix completion.. Apache-2 -- sklearn-crfsuite (🥈27 · ⭐ 420 · 💀) - scikit-learn inspired API for CRFsuite. MIT -- sklearn-contrib-lightning (🥉22 · ⭐ 1.7K · 💀) - Large-scale linear classification, regression and.. BSD-3 +- scikit-survival (🥈27 · ⭐ 1K) - Survival analysis built on top of scikit-learn. ❗️GPL-3.0 +- sklearn-crfsuite (🥈26 · ⭐ 420 · 💀) - scikit-learn inspired API for CRFsuite. MIT - iterative-stratification (🥉22 · ⭐ 800 · 💀) - scikit-learn cross validators for iterative.. BSD-3 - skope-rules (🥉22 · ⭐ 560 · 💤) - machine learning with logical rules in Python. ❗️BSD-1-Clause +- sklearn-contrib-lightning (🥉20 · ⭐ 1.7K · 💀) - Large-scale linear classification, regression and.. BSD-3 - celer (🥉19 · ⭐ 180) - Fast solver for L1-type problems: Lasso, sparse Logisitic regression,.. BSD-3 - scikit-tda (🥉18 · ⭐ 460 · 💀) - Topological Data Analysis for Python. MIT - skggm (🥉17 · ⭐ 230) - Scikit-learn compatible estimation of general graphical models. MIT -- dabl (🥉15 · ⭐ 130 · 💤) - Data Analysis Baseline Library. BSD-3 +- dabl (🥉14 · ⭐ 130 · 💤) - Data Analysis Baseline Library. BSD-3

@@ -7964,28 +7932,28 @@ _Libraries that extend Pytorch with additional capabilities._
accelerate (🥇39 · ⭐ 6.1K) - A simple way to train and use PyTorch models with multi-.. Apache-2 -- [GitHub](https://github.com/huggingface/accelerate) (👨‍💻 200 · 🔀 650 · 📦 19K · 📋 1.1K - 9% open · ⏱️ 30.11.2023): +- [GitHub](https://github.com/huggingface/accelerate) (👨‍💻 200 · 🔀 670 · 📦 20K · 📋 1.1K - 10% open · ⏱️ 06.12.2023): ``` git clone https://github.com/huggingface/accelerate ``` -- [PyPi](https://pypi.org/project/accelerate) (📥 7.7M / month · 📦 440 · ⏱️ 30.10.2023): +- [PyPi](https://pypi.org/project/accelerate) (📥 7.8M / month · 📦 450 · ⏱️ 01.12.2023): ``` pip install accelerate ``` -- [Conda](https://anaconda.org/conda-forge/accelerate) (📥 89K · ⏱️ 30.10.2023): +- [Conda](https://anaconda.org/conda-forge/accelerate) (📥 90K · ⏱️ 01.12.2023): ``` conda install -c conda-forge accelerate ```
PML (🥇32 · ⭐ 5.6K) - The easiest way to use deep metric learning in your application. Modular,.. MIT -- [GitHub](https://github.com/KevinMusgrave/pytorch-metric-learning) (👨‍💻 38 · 🔀 630 · 📦 1K · 📋 480 - 10% open · ⏱️ 25.07.2023): +- [GitHub](https://github.com/KevinMusgrave/pytorch-metric-learning) (👨‍💻 38 · 🔀 630 · 📦 1.1K · 📋 480 - 10% open · ⏱️ 25.07.2023): ``` git clone https://github.com/KevinMusgrave/pytorch-metric-learning ``` -- [PyPi](https://pypi.org/project/pytorch-metric-learning) (📥 360K / month · 📦 19 · ⏱️ 25.07.2023): +- [PyPi](https://pypi.org/project/pytorch-metric-learning) (📥 330K / month · 📦 19 · ⏱️ 25.07.2023): ``` pip install pytorch-metric-learning ``` @@ -7996,77 +7964,77 @@ _Libraries that extend Pytorch with additional capabilities._
tinygrad (🥇31 · ⭐ 21K) - You like pytorch? You like micrograd? You love tinygrad!. MIT -- [GitHub](https://github.com/tinygrad/tinygrad) (👨‍💻 250 · 🔀 2.2K · 📦 32 · 📋 410 - 17% open · ⏱️ 30.11.2023): +- [GitHub](https://github.com/tinygrad/tinygrad) (👨‍💻 250 · 🔀 2.3K · 📦 34 · 📋 430 - 17% open · ⏱️ 07.12.2023): ``` git clone https://github.com/geohot/tinygrad ```
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lightning-flash (🥇30 · ⭐ 1.7K) - Your PyTorch AI Factory - Flash enables you to easily.. Apache-2 +
torchdiffeq (🥇29 · ⭐ 5K) - Differentiable ODE solvers with full GPU support and O(1)-memory.. MIT -- [GitHub](https://github.com/Lightning-Universe/lightning-flash) (👨‍💻 87 · 🔀 210 · 📦 250 · 📋 520 - 4% open · ⏱️ 08.10.2023): +- [GitHub](https://github.com/rtqichen/torchdiffeq) (👨‍💻 21 · 🔀 850 · 📦 2.6K · 📋 210 - 30% open · ⏱️ 19.10.2023): ``` - git clone https://github.com/Lightning-AI/lightning-flash + git clone https://github.com/rtqichen/torchdiffeq ``` -- [PyPi](https://pypi.org/project/lightning-flash) (📥 2K / month · 📦 3 · ⏱️ 11.05.2022): +- [PyPi](https://pypi.org/project/torchdiffeq) (📥 740K / month · 📦 43 · ⏱️ 22.04.2022): ``` - pip install lightning-flash + pip install torchdiffeq ``` -- [Conda](https://anaconda.org/conda-forge/lightning-flash) (📥 16K · ⏱️ 04.07.2023): +- [Conda](https://anaconda.org/conda-forge/torchdiffeq) (📥 14K · ⏱️ 16.06.2023): ``` - conda install -c conda-forge lightning-flash + conda install -c conda-forge torchdiffeq ```
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torchsde (🥇30 · ⭐ 1.4K) - Differentiable SDE solvers with GPU support and efficient.. Apache-2 +
pytorch-optimizer (🥇29 · ⭐ 2.9K) - torch-optimizer -- collection of optimizers for.. Apache-2 -- [GitHub](https://github.com/google-research/torchsde) (👨‍💻 8 · 🔀 170 · 📦 1.8K · 📋 70 - 27% open · ⏱️ 26.09.2023): +- [GitHub](https://github.com/jettify/pytorch-optimizer) (👨‍💻 26 · 🔀 280 · 📦 1K · 📋 61 - 50% open · ⏱️ 20.06.2023): ``` - git clone https://github.com/google-research/torchsde + git clone https://github.com/jettify/pytorch-optimizer ``` -- [PyPi](https://pypi.org/project/torchsde) (📥 980K / month · 📦 10 · ⏱️ 26.09.2023): +- [PyPi](https://pypi.org/project/torch_optimizer) (📥 160K / month · 📦 44 · ⏱️ 31.10.2021): ``` - pip install torchsde + pip install torch_optimizer ``` -- [Conda](https://anaconda.org/conda-forge/torchsde) (📥 19K · ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/torch-optimizer) (📥 9.3K · ⏱️ 16.06.2023): ``` - conda install -c conda-forge torchsde + conda install -c conda-forge torch-optimizer ```
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torchdiffeq (🥈29 · ⭐ 4.9K) - Differentiable ODE solvers with full GPU support and.. MIT +
lightning-flash (🥇29 · ⭐ 1.7K) - Your PyTorch AI Factory - Flash enables you to easily.. Apache-2 -- [GitHub](https://github.com/rtqichen/torchdiffeq) (👨‍💻 21 · 🔀 850 · 📦 2.5K · 📋 210 - 30% open · ⏱️ 19.10.2023): +- [GitHub](https://github.com/Lightning-Universe/lightning-flash) (👨‍💻 87 · 🔀 210 · 📦 260 · 📋 520 - 4% open · ⏱️ 08.10.2023): ``` - git clone https://github.com/rtqichen/torchdiffeq + git clone https://github.com/Lightning-AI/lightning-flash ``` -- [PyPi](https://pypi.org/project/torchdiffeq) (📥 740K / month · 📦 36 · ⏱️ 22.04.2022): +- [PyPi](https://pypi.org/project/lightning-flash) (📥 1.7K / month · 📦 3 · ⏱️ 11.05.2022): ``` - pip install torchdiffeq + pip install lightning-flash ``` -- [Conda](https://anaconda.org/conda-forge/torchdiffeq) (📥 14K · ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/lightning-flash) (📥 17K · ⏱️ 04.07.2023): ``` - conda install -c conda-forge torchdiffeq + conda install -c conda-forge lightning-flash ```
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pytorch-optimizer (🥈29 · ⭐ 2.9K) - torch-optimizer -- collection of optimizers for.. Apache-2 +
torchsde (🥇29 · ⭐ 1.4K) - Differentiable SDE solvers with GPU support and efficient.. Apache-2 -- [GitHub](https://github.com/jettify/pytorch-optimizer) (👨‍💻 26 · 🔀 280 · 📦 1K · 📋 61 - 50% open · ⏱️ 20.06.2023): +- [GitHub](https://github.com/google-research/torchsde) (👨‍💻 8 · 🔀 170 · 📦 1.9K · 📋 70 - 27% open · ⏱️ 26.09.2023): ``` - git clone https://github.com/jettify/pytorch-optimizer + git clone https://github.com/google-research/torchsde ``` -- [PyPi](https://pypi.org/project/torch_optimizer) (📥 140K / month · 📦 42 · ⏱️ 31.10.2021): +- [PyPi](https://pypi.org/project/torchsde) (📥 1M / month · 📦 10 · ⏱️ 26.09.2023): ``` - pip install torch_optimizer + pip install torchsde ``` -- [Conda](https://anaconda.org/conda-forge/torch-optimizer) (📥 9.3K · ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/torchsde) (📥 19K · ⏱️ 16.06.2023): ``` - conda install -c conda-forge torch-optimizer + conda install -c conda-forge torchsde ```
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TabNet (🥈27 · ⭐ 2.3K) - PyTorch implementation of TabNet paper :.. MIT +
TabNet (🥈27 · ⭐ 2.4K) - PyTorch implementation of TabNet paper :.. MIT - [GitHub](https://github.com/dreamquark-ai/tabnet) (👨‍💻 21 · 🔀 440 · 📋 320 - 16% open · ⏱️ 23.07.2023): @@ -8084,12 +8052,12 @@ _Libraries that extend Pytorch with additional capabilities._
torch-scatter (🥈26 · ⭐ 1.4K) - PyTorch Extension Library of Optimized Scatter Operations. MIT -- [GitHub](https://github.com/rusty1s/pytorch_scatter) (👨‍💻 28 · 🔀 160 · 📋 340 - 7% open · ⏱️ 05.10.2023): +- [GitHub](https://github.com/rusty1s/pytorch_scatter) (👨‍💻 28 · 🔀 160 · 📋 340 - 6% open · ⏱️ 05.10.2023): ``` git clone https://github.com/rusty1s/pytorch_scatter ``` -- [PyPi](https://pypi.org/project/torch-scatter) (📥 43K / month · 📦 77 · ⏱️ 06.10.2023): +- [PyPi](https://pypi.org/project/torch-scatter) (📥 42K / month · 📦 81 · ⏱️ 06.10.2023): ``` pip install torch-scatter ``` @@ -8105,7 +8073,7 @@ _Libraries that extend Pytorch with additional capabilities._ ``` git clone https://github.com/rusty1s/pytorch_sparse ``` -- [PyPi](https://pypi.org/project/torch-sparse) (📥 28K / month · 📦 73 · ⏱️ 06.10.2023): +- [PyPi](https://pypi.org/project/torch-sparse) (📥 29K / month · 📦 75 · ⏱️ 06.10.2023): ``` pip install torch-sparse ``` @@ -8114,14 +8082,14 @@ _Libraries that extend Pytorch with additional capabilities._ conda install -c conda-forge pytorch_sparse ```
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Pytorch Toolbelt (🥉22 · ⭐ 1.4K · 📉) - PyTorch extensions for fast R&D prototyping and.. MIT +
Pytorch Toolbelt (🥉22 · ⭐ 1.4K) - PyTorch extensions for fast R&D prototyping and Kaggle.. MIT - [GitHub](https://github.com/BloodAxe/pytorch-toolbelt) (👨‍💻 7 · 🔀 120 · 📥 7 · 📋 30 - 3% open · ⏱️ 03.11.2023): ``` git clone https://github.com/BloodAxe/pytorch-toolbelt ``` -- [PyPi](https://pypi.org/project/pytorch_toolbelt) (📥 7K / month · 📦 7 · ⏱️ 27.06.2022): +- [PyPi](https://pypi.org/project/pytorch_toolbelt) (📥 7.5K / month · 📦 7 · ⏱️ 27.06.2022): ``` pip install pytorch_toolbelt ``` @@ -8133,26 +8101,26 @@ _Libraries that extend Pytorch with additional capabilities._ ``` git clone https://github.com/lucidrains/reformer-pytorch ``` -- [PyPi](https://pypi.org/project/reformer-pytorch) (📥 4.1K / month · ⏱️ 06.11.2021): +- [PyPi](https://pypi.org/project/reformer-pytorch) (📥 4.2K / month · ⏱️ 06.11.2021): ``` pip install reformer-pytorch ```
madgrad (🥉16 · ⭐ 790 · 💤) - MADGRAD Optimization Method. MIT -- [GitHub](https://github.com/facebookresearch/madgrad) (👨‍💻 2 · 🔀 56 · 📦 64 · 📋 11 - 9% open · ⏱️ 11.04.2023): +- [GitHub](https://github.com/facebookresearch/madgrad) (👨‍💻 2 · 🔀 56 · 📦 66 · 📋 11 - 9% open · ⏱️ 11.04.2023): ``` git clone https://github.com/facebookresearch/madgrad ``` -- [PyPi](https://pypi.org/project/madgrad) (📥 3.2K / month · 📦 1 · ⏱️ 08.03.2022): +- [PyPi](https://pypi.org/project/madgrad) (📥 3.6K / month · 📦 1 · ⏱️ 08.03.2022): ``` pip install madgrad ```
Show 19 hidden projects... -- pretrainedmodels (🥈29 · ⭐ 8.9K · 💀) - Pretrained ConvNets for pytorch: NASNet, ResNeXt,.. BSD-3 +- pretrainedmodels (🥇29 · ⭐ 8.9K · 💀) - Pretrained ConvNets for pytorch: NASNet, ResNeXt,.. BSD-3 - EfficientNet-PyTorch (🥈27 · ⭐ 7.6K · 💀) - A PyTorch implementation of EfficientNet and.. Apache-2 - pytorch-summary (🥈27 · ⭐ 3.9K · 💀) - Model summary in PyTorch similar to `model.summary()`.. MIT - SRU (🥉23 · ⭐ 2.1K · 💀) - Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755). MIT @@ -8165,7 +8133,7 @@ _Libraries that extend Pytorch with additional capabilities._ - Lambda Networks (🥉20 · ⭐ 1.5K · 💀) - Implementation of LambdaNetworks, a new approach to.. MIT - Poutyne (🥉20 · ⭐ 550) - A simplified framework and utilities for PyTorch. ❗️LGPL-3.0 - Performer Pytorch (🥉19 · ⭐ 1K · 💀) - An implementation of Performer, a linear attention-.. MIT -- micrograd (🥉18 · ⭐ 6.7K · 💀) - A tiny scalar-valued autograd engine and a neural net library.. MIT +- micrograd (🥉18 · ⭐ 6.8K · 💀) - A tiny scalar-valued autograd engine and a neural net library.. MIT - Tez (🥉17 · ⭐ 1.2K · 💀) - Tez is a super-simple and lightweight Trainer for PyTorch. It.. Apache-2 - Torch-Struct (🥉17 · ⭐ 1.1K · 💀) - Fast, general, and tested differentiable structured.. MIT - Tensor Sensor (🥉17 · ⭐ 740 · 💀) - The goal of this library is to generate more helpful.. MIT @@ -8188,14 +8156,14 @@ _Libraries for connecting to, operating, and querying databases._ Back to top -
scipy (🥇47 · ⭐ 12K · 📉) - Ecosystem of open-source software for mathematics, science, and.. BSD-3 +
scipy (🥇49 · ⭐ 12K · 📈) - Ecosystem of open-source software for mathematics, science, and.. BSD-3 -- [GitHub](https://github.com/scipy/scipy) (👨‍💻 1.6K · 🔀 4.9K · 📥 390K · 📦 21 · 📋 9.8K - 17% open · ⏱️ 28.11.2023): +- [GitHub](https://github.com/scipy/scipy) (👨‍💻 1.6K · 🔀 4.9K · 📥 390K · 📦 870K · 📋 9.8K - 17% open · ⏱️ 07.12.2023): ``` git clone https://github.com/scipy/scipy ``` -- [PyPi](https://pypi.org/project/scipy) (📥 66M / month · 📦 65K · ⏱️ 18.11.2023): +- [PyPi](https://pypi.org/project/scipy) (📥 67M / month · 📦 65K · ⏱️ 18.11.2023): ``` pip install scipy ``` @@ -8206,7 +8174,7 @@ _Libraries for connecting to, operating, and querying databases._
SymPy (🥇46 · ⭐ 12K) - A computer algebra system written in pure Python. BSD-3 -- [GitHub](https://github.com/sympy/sympy) (👨‍💻 1.3K · 🔀 4K · 📥 520K · 📦 96K · 📋 13K - 36% open · ⏱️ 29.11.2023): +- [GitHub](https://github.com/sympy/sympy) (👨‍💻 1.3K · 🔀 4.1K · 📥 520K · 📦 98K · 📋 13K - 36% open · ⏱️ 07.12.2023): ``` git clone https://github.com/sympy/sympy @@ -8215,55 +8183,55 @@ _Libraries for connecting to, operating, and querying databases._ ``` pip install sympy ``` -- [Conda](https://anaconda.org/conda-forge/sympy) (📥 4.7M · ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/sympy) (📥 4.8M · ⏱️ 16.06.2023): ``` conda install -c conda-forge sympy ```
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Gradio (🥇43 · ⭐ 24K · 📈) - Wrap UIs around any model, share with anyone. Apache-2 +
Gradio (🥇43 · ⭐ 25K) - Wrap UIs around any model, share with anyone. Apache-2 -- [GitHub](https://github.com/gradio-app/gradio) (👨‍💻 230 · 🔀 1.7K · 📦 18K · 📋 3.3K - 13% open · ⏱️ 30.11.2023): +- [GitHub](https://github.com/gradio-app/gradio) (👨‍💻 230 · 🔀 1.7K · 📦 18K · 📋 3.3K - 13% open · ⏱️ 07.12.2023): ``` git clone https://github.com/gradio-app/gradio ``` -- [PyPi](https://pypi.org/project/gradio) (📥 3.4M / month · 📦 220 · ⏱️ 23.11.2023): +- [PyPi](https://pypi.org/project/gradio) (📥 3.6M / month · 📦 230 · ⏱️ 05.12.2023): ``` pip install gradio ```
Streamlit (🥇41 · ⭐ 29K) - Streamlit A faster way to build and share data apps. Apache-2 -- [GitHub](https://github.com/streamlit/streamlit) (👨‍💻 210 · 🔀 2.6K · 📋 3.8K - 18% open · ⏱️ 29.11.2023): +- [GitHub](https://github.com/streamlit/streamlit) (👨‍💻 210 · 🔀 2.6K · 📋 3.8K - 18% open · ⏱️ 07.12.2023): ``` git clone https://github.com/streamlit/streamlit ``` -- [PyPi](https://pypi.org/project/streamlit) (📥 2.9M / month · 📦 1.2K · ⏱️ 13.11.2023): +- [PyPi](https://pypi.org/project/streamlit) (📥 3M / month · 📦 1.2K · ⏱️ 30.11.2023): ``` pip install streamlit ```
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carla (🥇36 · ⭐ 9.9K) - Open-source simulator for autonomous driving research. MIT +
carla (🥇36 · ⭐ 10K) - Open-source simulator for autonomous driving research. MIT -- [GitHub](https://github.com/carla-simulator/carla) (👨‍💻 170 · 🔀 3.1K · 📦 590 · 📋 4.8K - 19% open · ⏱️ 10.11.2023): +- [GitHub](https://github.com/carla-simulator/carla) (👨‍💻 170 · 🔀 3.1K · 📦 600 · 📋 4.8K - 19% open · ⏱️ 10.11.2023): ``` git clone https://github.com/carla-simulator/carla ``` -- [PyPi](https://pypi.org/project/carla) (📥 16K / month · 📦 6 · ⏱️ 14.11.2023): +- [PyPi](https://pypi.org/project/carla) (📥 17K / month · 📦 6 · ⏱️ 14.11.2023): ``` pip install carla ```
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DeepChem (🥇36 · ⭐ 4.7K) - Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry,.. MIT +
DeepChem (🥇36 · ⭐ 4.8K) - Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry,.. MIT -- [GitHub](https://github.com/deepchem/deepchem) (👨‍💻 230 · 🔀 1.5K · 📦 290 · 📋 1.7K - 30% open · ⏱️ 27.11.2023): +- [GitHub](https://github.com/deepchem/deepchem) (👨‍💻 230 · 🔀 1.5K · 📦 290 · 📋 1.7K - 30% open · ⏱️ 07.12.2023): ``` git clone https://github.com/deepchem/deepchem ``` -- [PyPi](https://pypi.org/project/deepchem) (📥 17K / month · 📦 11 · ⏱️ 27.11.2023): +- [PyPi](https://pypi.org/project/deepchem) (📥 19K / month · 📦 11 · ⏱️ 07.12.2023): ``` pip install deepchem ``` @@ -8272,25 +8240,9 @@ _Libraries for connecting to, operating, and querying databases._ conda install -c conda-forge deepchem ```
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Autograd (🥇35 · ⭐ 6.6K) - Efficiently computes derivatives of numpy code. MIT - -- [GitHub](https://github.com/HIPS/autograd) (👨‍💻 56 · 🔀 870 · 📦 6.7K · 📋 410 - 42% open · ⏱️ 16.11.2023): - - ``` - git clone https://github.com/HIPS/autograd - ``` -- [PyPi](https://pypi.org/project/autograd) (📥 1.3M / month · 📦 320 · ⏱️ 23.06.2023): - ``` - pip install autograd - ``` -- [Conda](https://anaconda.org/conda-forge/autograd) (📥 380K · ⏱️ 26.06.2023): - ``` - conda install -c conda-forge autograd - ``` -
agate (🥇35 · ⭐ 1.1K) - A Python data analysis library that is optimized for humans instead of.. MIT -- [GitHub](https://github.com/wireservice/agate) (👨‍💻 52 · 🔀 150 · 📦 2.4K · 📋 650 - 1% open · ⏱️ 18.10.2023): +- [GitHub](https://github.com/wireservice/agate) (👨‍💻 52 · 🔀 150 · 📦 2.5K · 📋 650 - 1% open · ⏱️ 18.10.2023): ``` git clone https://github.com/wireservice/agate @@ -8311,7 +8263,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/simonw/datasette ``` -- [PyPi](https://pypi.org/project/datasette) (📥 37K / month · 📦 200 · ⏱️ 08.10.2023): +- [PyPi](https://pypi.org/project/datasette) (📥 35K / month · 📦 210 · ⏱️ 08.10.2023): ``` pip install datasette ``` @@ -8320,14 +8272,14 @@ _Libraries for connecting to, operating, and querying databases._ conda install -c conda-forge datasette ```
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PyOD (🥈34 · ⭐ 7.6K) - A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly.. BSD-2 +
PyOD (🥈34 · ⭐ 7.7K) - A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly.. BSD-2 -- [GitHub](https://github.com/yzhao062/pyod) (👨‍💻 50 · 🔀 1.3K · 📦 3K · 📋 330 - 56% open · ⏱️ 18.11.2023): +- [GitHub](https://github.com/yzhao062/pyod) (👨‍💻 50 · 🔀 1.3K · 📦 3.1K · 📋 330 - 56% open · ⏱️ 18.11.2023): ``` git clone https://github.com/yzhao062/pyod ``` -- [PyPi](https://pypi.org/project/pyod) (📥 720K / month · 📦 60 · ⏱️ 18.11.2023): +- [PyPi](https://pypi.org/project/pyod) (📥 710K / month · 📦 63 · ⏱️ 18.11.2023): ``` pip install pyod ``` @@ -8336,6 +8288,38 @@ _Libraries for connecting to, operating, and querying databases._ conda install -c conda-forge pyod ```
+
Autograd (🥈34 · ⭐ 6.6K) - Efficiently computes derivatives of numpy code. MIT + +- [GitHub](https://github.com/HIPS/autograd) (👨‍💻 56 · 🔀 870 · 📦 6.8K · 📋 410 - 42% open · ⏱️ 16.11.2023): + + ``` + git clone https://github.com/HIPS/autograd + ``` +- [PyPi](https://pypi.org/project/autograd) (📥 1.3M / month · 📦 320 · ⏱️ 23.06.2023): + ``` + pip install autograd + ``` +- [Conda](https://anaconda.org/conda-forge/autograd) (📥 380K · ⏱️ 26.06.2023): + ``` + conda install -c conda-forge autograd + ``` +
+
PennyLane (🥈34 · ⭐ 2K · 📈) - PennyLane is a cross-platform Python library for differentiable.. Apache-2 + +- [GitHub](https://github.com/PennyLaneAI/pennylane) (👨‍💻 150 · 🔀 500 · 📥 70 · 📦 690 · 📋 1.2K - 27% open · ⏱️ 06.12.2023): + + ``` + git clone https://github.com/PennyLaneAI/PennyLane + ``` +- [PyPi](https://pypi.org/project/pennylane) (📥 38K / month · 📦 64 · ⏱️ 08.11.2023): + ``` + pip install pennylane + ``` +- [Conda](https://anaconda.org/conda-forge/pennylane) (📥 29K · ⏱️ 21.11.2023): + ``` + conda install -c conda-forge pennylane + ``` +
PaddleHub (🥈33 · ⭐ 12K · 💤) - Awesome pre-trained models toolkit based on PaddlePaddle... Apache-2 - [GitHub](https://github.com/PaddlePaddle/PaddleHub) (👨‍💻 69 · 🔀 2.1K · 📥 660 · 📦 1.5K · 📋 1.3K - 44% open · ⏱️ 28.03.2023): @@ -8343,19 +8327,19 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/PaddlePaddle/PaddleHub ``` -- [PyPi](https://pypi.org/project/paddlehub) (📥 5.6K / month · 📦 6 · ⏱️ 20.09.2023): +- [PyPi](https://pypi.org/project/paddlehub) (📥 6K / month · 📦 6 · ⏱️ 20.09.2023): ``` pip install paddlehub ```
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River (🥈32 · ⭐ 4.5K) - Online machine learning in Python. BSD-3 +
River (🥈32 · ⭐ 4.6K) - Online machine learning in Python. BSD-3 -- [GitHub](https://github.com/online-ml/river) (👨‍💻 110 · 🔀 540 · 📦 380 · 📋 550 - 17% open · ⏱️ 23.11.2023): +- [GitHub](https://github.com/online-ml/river) (👨‍💻 110 · 🔀 550 · 📦 380 · 📋 560 - 18% open · ⏱️ 06.12.2023): ``` git clone https://github.com/online-ml/river ``` -- [PyPi](https://pypi.org/project/river) (📥 23K / month · 📦 29 · ⏱️ 09.11.2023): +- [PyPi](https://pypi.org/project/river) (📥 23K / month · 📦 29 · ⏱️ 05.12.2023): ``` pip install river ``` @@ -8366,12 +8350,12 @@ _Libraries for connecting to, operating, and querying databases._
hdbscan (🥈32 · ⭐ 2.6K) - A high performance implementation of HDBSCAN clustering. BSD-3 -- [GitHub](https://github.com/scikit-learn-contrib/hdbscan) (👨‍💻 86 · 🔀 480 · 📦 2.8K · 📋 500 - 67% open · ⏱️ 20.11.2023): +- [GitHub](https://github.com/scikit-learn-contrib/hdbscan) (👨‍💻 86 · 🔀 480 · 📦 2.9K · 📋 500 - 67% open · ⏱️ 20.11.2023): ``` git clone https://github.com/scikit-learn-contrib/hdbscan ``` -- [PyPi](https://pypi.org/project/hdbscan) (📥 500K / month · 📦 220 · ⏱️ 20.11.2023): +- [PyPi](https://pypi.org/project/hdbscan) (📥 480K / month · 📦 220 · ⏱️ 20.11.2023): ``` pip install hdbscan ``` @@ -8380,30 +8364,14 @@ _Libraries for connecting to, operating, and querying databases._ conda install -c conda-forge hdbscan ```
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PennyLane (🥈32 · ⭐ 2K) - PennyLane is a cross-platform Python library for differentiable.. Apache-2 - -- [GitHub](https://github.com/PennyLaneAI/pennylane) (👨‍💻 150 · 🔀 500 · 📥 70 · 📦 680 · 📋 1.2K - 27% open · ⏱️ 30.11.2023): - - ``` - git clone https://github.com/PennyLaneAI/PennyLane - ``` -- [PyPi](https://pypi.org/project/pennylane) (📥 38K / month · 📦 63 · ⏱️ 08.11.2023): - ``` - pip install pennylane - ``` -- [Conda](https://anaconda.org/conda-forge/pennylane) (📥 29K · ⏱️ 21.11.2023): - ``` - conda install -c conda-forge pennylane - ``` -
Pythran (🥈32 · ⭐ 1.9K) - Ahead of Time compiler for numeric kernels. BSD-3 -- [GitHub](https://github.com/serge-sans-paille/pythran) (👨‍💻 72 · 🔀 190 · 📦 1.5K · 📋 830 - 15% open · ⏱️ 29.11.2023): +- [GitHub](https://github.com/serge-sans-paille/pythran) (👨‍💻 72 · 🔀 190 · 📦 1.5K · 📋 830 - 15% open · ⏱️ 05.12.2023): ``` git clone https://github.com/serge-sans-paille/pythran ``` -- [PyPi](https://pypi.org/project/pythran) (📥 160K / month · 📦 22 · ⏱️ 06.09.2023): +- [PyPi](https://pypi.org/project/pythran) (📥 150K / month · 📦 22 · ⏱️ 06.09.2023): ``` pip install pythran ``` @@ -8419,18 +8387,18 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/inducer/pyopencl ``` -- [PyPi](https://pypi.org/project/pyopencl) (📥 64K / month · 📦 200 · ⏱️ 12.10.2023): +- [PyPi](https://pypi.org/project/pyopencl) (📥 74K / month · 📦 210 · ⏱️ 12.10.2023): ``` pip install pyopencl ``` -- [Conda](https://anaconda.org/conda-forge/pyopencl) (📥 960K · ⏱️ 13.10.2023): +- [Conda](https://anaconda.org/conda-forge/pyopencl) (📥 970K · ⏱️ 13.10.2023): ``` conda install -c conda-forge pyopencl ```
pandas-ai (🥈30 · ⭐ 9.2K) - PandasAI is the Python library that integrates Gen AI into pandas,.. MIT -- [GitHub](https://github.com/gventuri/pandas-ai) (👨‍💻 55 · 🔀 760 · 📦 2.4K · 📋 400 - 36% open · ⏱️ 24.11.2023): +- [GitHub](https://github.com/gventuri/pandas-ai) (👨‍💻 55 · 🔀 760 · 📦 2.4K · 📋 400 - 37% open · ⏱️ 30.11.2023): ``` git clone https://github.com/gventuri/pandas-ai @@ -8442,19 +8410,19 @@ _Libraries for connecting to, operating, and querying databases._
causalml (🥈30 · ⭐ 4.4K) - Uplift modeling and causal inference with machine learning.. Apache-2 -- [GitHub](https://github.com/uber/causalml) (👨‍💻 58 · 🔀 700 · 📦 170 · 📋 400 - 22% open · ⏱️ 17.11.2023): +- [GitHub](https://github.com/uber/causalml) (👨‍💻 59 · 🔀 700 · 📦 170 · 📋 400 - 21% open · ⏱️ 01.12.2023): ``` git clone https://github.com/uber/causalml ``` -- [PyPi](https://pypi.org/project/causalml) (📥 83K / month · 📦 1 · ⏱️ 28.08.2023): +- [PyPi](https://pypi.org/project/causalml) (📥 78K / month · 📦 1 · ⏱️ 28.08.2023): ``` pip install causalml ```
avalanche (🥈30 · ⭐ 1.5K) - Avalanche: an End-to-End Library for Continual Learning based on.. MIT -- [GitHub](https://github.com/ContinualAI/avalanche) (👨‍💻 73 · 🔀 250 · 📥 4 · 📦 59 · 📋 760 - 11% open · ⏱️ 17.11.2023): +- [GitHub](https://github.com/ContinualAI/avalanche) (👨‍💻 74 · 🔀 250 · 📥 4 · 📦 60 · 📋 760 - 11% open · ⏱️ 07.12.2023): ``` git clone https://github.com/ContinualAI/avalanche @@ -8471,7 +8439,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/tensorly/tensorly ``` -- [PyPi](https://pypi.org/project/tensorly) (📥 14K / month · 📦 49 · ⏱️ 14.01.2023): +- [PyPi](https://pypi.org/project/tensorly) (📥 14K / month · 📦 49 · ⏱️ 08.03.2023): ``` pip install tensorly ``` @@ -8482,12 +8450,12 @@ _Libraries for connecting to, operating, and querying databases._
pyjanitor (🥈30 · ⭐ 1.2K) - Clean APIs for data cleaning. Python implementation of R package.. MIT -- [GitHub](https://github.com/pyjanitor-devs/pyjanitor) (👨‍💻 110 · 🔀 160 · 📦 490 · 📋 540 - 19% open · ⏱️ 22.11.2023): +- [GitHub](https://github.com/pyjanitor-devs/pyjanitor) (👨‍💻 110 · 🔀 160 · 📦 500 · 📋 540 - 20% open · ⏱️ 22.11.2023): ``` git clone https://github.com/pyjanitor-devs/pyjanitor ``` -- [PyPi](https://pypi.org/project/pyjanitor) (📥 42K / month · 📦 18 · ⏱️ 18.09.2023): +- [PyPi](https://pypi.org/project/pyjanitor) (📥 45K / month · 📦 20 · ⏱️ 18.09.2023): ``` pip install pyjanitor ``` @@ -8503,7 +8471,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/datalad/datalad ``` -- [PyPi](https://pypi.org/project/datalad) (📥 16K / month · 📦 64 · ⏱️ 10.08.2023): +- [PyPi](https://pypi.org/project/datalad) (📥 15K / month · 📦 64 · ⏱️ 10.08.2023): ``` pip install datalad ``` @@ -8526,12 +8494,12 @@ _Libraries for connecting to, operating, and querying databases._
Prince (🥈29 · ⭐ 1.1K) - Multivariate exploratory data analysis in Python PCA, CA, MCA, MFA,.. MIT -- [GitHub](https://github.com/MaxHalford/prince) (👨‍💻 16 · 🔀 180 · 📦 450 · 📋 130 - 2% open · ⏱️ 11.10.2023): +- [GitHub](https://github.com/MaxHalford/prince) (👨‍💻 16 · 🔀 180 · 📦 460 · 📋 130 - 2% open · ⏱️ 05.12.2023): ``` git clone https://github.com/MaxHalford/prince ``` -- [PyPi](https://pypi.org/project/prince) (📥 82K / month · 📦 10 · ⏱️ 11.10.2023): +- [PyPi](https://pypi.org/project/prince) (📥 96K / month · 📦 10 · ⏱️ 11.10.2023): ``` pip install prince ``` @@ -8542,7 +8510,7 @@ _Libraries for connecting to, operating, and querying databases._
anomalib (🥉28 · ⭐ 2.6K) - An anomaly detection library comprising state-of-the-art algorithms.. Apache-2 -- [GitHub](https://github.com/openvinotoolkit/anomalib) (👨‍💻 64 · 🔀 480 · 📥 4.4K · 📦 37 · 📋 600 - 9% open · ⏱️ 18.11.2023): +- [GitHub](https://github.com/openvinotoolkit/anomalib) (👨‍💻 64 · 🔀 480 · 📥 4.6K · 📦 38 · 📋 600 - 10% open · ⏱️ 18.11.2023): ``` git clone https://github.com/openvinotoolkit/anomalib @@ -8552,22 +8520,6 @@ _Libraries for connecting to, operating, and querying databases._ pip install anomalib ```
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TabPy (🥉28 · ⭐ 1.5K) - Execute Python code on the fly and display results in Tableau visualizations:. MIT - -- [GitHub](https://github.com/tableau/TabPy) (👨‍💻 49 · 🔀 570 · 📦 140 · 📋 310 - 3% open · ⏱️ 10.10.2023): - - ``` - git clone https://github.com/tableau/TabPy - ``` -- [PyPi](https://pypi.org/project/tabpy) (📥 15K / month · 📦 2 · ⏱️ 30.01.2023): - ``` - pip install tabpy - ``` -- [Conda](https://anaconda.org/anaconda/tabpy-client) (📥 4.5K · ⏱️ 16.06.2023): - ``` - conda install -c anaconda tabpy-client - ``` -
metric-learn (🥉28 · ⭐ 1.3K) - Metric learning algorithms in Python. MIT - [GitHub](https://github.com/scikit-learn-contrib/metric-learn) (👨‍💻 22 · 🔀 260 · 📦 320 · 📋 170 - 31% open · ⏱️ 29.09.2023): @@ -8575,7 +8527,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/scikit-learn-contrib/metric-learn ``` -- [PyPi](https://pypi.org/project/metric-learn) (📥 12K / month · 📦 13 · ⏱️ 09.10.2023): +- [PyPi](https://pypi.org/project/metric-learn) (📥 13K / month · 📦 13 · ⏱️ 09.10.2023): ``` pip install metric-learn ``` @@ -8591,11 +8543,11 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/nicodv/kmodes ``` -- [PyPi](https://pypi.org/project/kmodes) (📥 180K / month · 📦 33 · ⏱️ 14.04.2022): +- [PyPi](https://pypi.org/project/kmodes) (📥 190K / month · 📦 33 · ⏱️ 06.09.2022): ``` pip install kmodes ``` -- [Conda](https://anaconda.org/conda-forge/kmodes) (📥 38K · ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/kmodes) (📥 39K · ⏱️ 16.06.2023): ``` conda install -c conda-forge kmodes ``` @@ -8607,7 +8559,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/ljvmiranda921/pyswarms ``` -- [PyPi](https://pypi.org/project/pyswarms) (📥 30K / month · 📦 14 · ⏱️ 03.01.2021): +- [PyPi](https://pypi.org/project/pyswarms) (📥 40K / month · 📦 14 · ⏱️ 03.01.2021): ``` pip install pyswarms ``` @@ -8619,21 +8571,25 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/deepmind/pysc2 ``` -- [PyPi](https://pypi.org/project/pysc2) (📥 1.5K / month · 📦 26 · ⏱️ 13.07.2022): +- [PyPi](https://pypi.org/project/pysc2) (📥 1.7K / month · 📦 26 · ⏱️ 13.07.2022): ``` pip install pysc2 ```
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pycm (🥉27 · ⭐ 1.4K) - Multi-class confusion matrix library in Python. MIT +
TabPy (🥉27 · ⭐ 1.5K) - Execute Python code on the fly and display results in Tableau visualizations:. MIT -- [GitHub](https://github.com/sepandhaghighi/pycm) (👨‍💻 17 · 🔀 120 · 📦 250 · 📋 200 - 5% open · ⏱️ 07.06.2023): +- [GitHub](https://github.com/tableau/TabPy) (👨‍💻 49 · 🔀 570 · 📦 140 · 📋 310 - 3% open · ⏱️ 10.10.2023): ``` - git clone https://github.com/sepandhaghighi/pycm + git clone https://github.com/tableau/TabPy ``` -- [PyPi](https://pypi.org/project/pycm) (📥 43K / month · 📦 16 · ⏱️ 27.04.2022): +- [PyPi](https://pypi.org/project/tabpy) (📥 14K / month · 📦 2 · ⏱️ 30.01.2023): ``` - pip install pycm + pip install tabpy + ``` +- [Conda](https://anaconda.org/anaconda/tabpy-client) (📥 4.5K · ⏱️ 16.06.2023): + ``` + conda install -c anaconda tabpy-client ```
Trax (🥉26 · ⭐ 7.8K) - Trax Deep Learning with Clear Code and Speed. Apache-2 @@ -8643,19 +8599,31 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/google/trax ``` -- [PyPi](https://pypi.org/project/trax) (📥 4.7K / month · 📦 1 · ⏱️ 26.10.2021): +- [PyPi](https://pypi.org/project/trax) (📥 4.6K / month · 📦 1 · ⏱️ 26.10.2021): ``` pip install trax ```
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adapter-transformers (🥉26 · ⭐ 2.1K) - A Unified Library for Parameter-Efficient and Modular.. Apache-2 huggingface +
AugLy (🥉26 · ⭐ 4.8K) - A data augmentations library for audio, image, text, and video. MIT -- [GitHub](https://github.com/adapter-hub/adapters) (👨‍💻 5 · 🔀 300 · 📦 7 · 📋 340 - 14% open · ⏱️ 28.11.2023): +- [GitHub](https://github.com/facebookresearch/AugLy) (👨‍💻 34 · 🔀 290 · 📦 92 · 📋 76 - 28% open · ⏱️ 08.11.2023): + + ``` + git clone https://github.com/facebookresearch/AugLy + ``` +- [PyPi](https://pypi.org/project/augly) (📥 1.7K / month · 📦 4 · ⏱️ 05.12.2023): + ``` + pip install augly + ``` +
+
adapter-transformers (🥉26 · ⭐ 2.2K) - A Unified Library for Parameter-Efficient and Modular.. Apache-2 huggingface + +- [GitHub](https://github.com/adapter-hub/adapters) (👨‍💻 5 · 🔀 300 · 📦 7 · 📋 340 - 13% open · ⏱️ 07.12.2023): ``` git clone https://github.com/Adapter-Hub/adapter-transformers ``` -- [PyPi](https://pypi.org/project/adapter-transformers) (📥 30K / month · 📦 7 · ⏱️ 06.04.2023): +- [PyPi](https://pypi.org/project/adapter-transformers) (📥 28K / month · 📦 7 · ⏱️ 06.04.2023): ``` pip install adapter-transformers ``` @@ -8667,7 +8635,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/modAL-python/modAL ``` -- [PyPi](https://pypi.org/project/modAL) (📥 130K / month · 📦 3 · ⏱️ 29.11.2023): +- [PyPi](https://pypi.org/project/modAL) (📥 130K / month · 📦 3 · ⏱️ 07.12.2023): ``` pip install modAL ``` @@ -8679,41 +8647,25 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/trevorstephens/gplearn ``` -- [PyPi](https://pypi.org/project/gplearn) (📥 6.2K / month · 📦 15 · ⏱️ 03.05.2022): +- [PyPi](https://pypi.org/project/gplearn) (📥 6.4K / month · 📦 15 · ⏱️ 03.05.2022): ``` pip install gplearn ``` -- [Conda](https://anaconda.org/conda-forge/gplearn) (📥 6.3K · ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/gplearn) (📥 6.4K · ⏱️ 16.06.2023): ``` conda install -c conda-forge gplearn ```
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AugLy (🥉25 · ⭐ 4.8K) - A data augmentations library for audio, image, text, and video. MIT - -- [GitHub](https://github.com/facebookresearch/AugLy) (👨‍💻 34 · 🔀 290 · 📦 90 · 📋 73 - 26% open · ⏱️ 08.11.2023): - - ``` - git clone https://github.com/facebookresearch/AugLy - ``` -- [PyPi](https://pypi.org/project/augly) (📥 1.8K / month · 📦 4 · ⏱️ 28.03.2022): - ``` - pip install augly - ``` -
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Feature Engine (🥉25 · ⭐ 1.5K · 💤) - Feature engineering package with sklearn like functionality. BSD-3 +
pycm (🥉26 · ⭐ 1.4K) - Multi-class confusion matrix library in Python. MIT -- [GitHub](https://github.com/solegalli/feature_engine) (👨‍💻 38 · 🔀 270 · ⏱️ 07.12.2022): +- [GitHub](https://github.com/sepandhaghighi/pycm) (👨‍💻 17 · 🔀 120 · 📦 250 · 📋 200 - 5% open · ⏱️ 07.06.2023): ``` - git clone https://github.com/solegalli/feature_engine - ``` -- [PyPi](https://pypi.org/project/feature_engine) (📥 130K / month · 📦 86 · ⏱️ 18.09.2023): - ``` - pip install feature_engine + git clone https://github.com/sepandhaghighi/pycm ``` -- [Conda](https://anaconda.org/conda-forge/feature_engine) (📥 43K · ⏱️ 19.09.2023): +- [PyPi](https://pypi.org/project/pycm) (📥 53K / month · 📦 18 · ⏱️ 07.06.2023): ``` - conda install -c conda-forge feature_engine + pip install pycm ```
SUOD (🥉25 · ⭐ 360) - (MLSys 21) An Acceleration System for Large-scare Unsupervised Heterogeneous.. BSD-2 @@ -8723,7 +8675,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/yzhao062/SUOD ``` -- [PyPi](https://pypi.org/project/suod) (📥 99K / month · 📦 2 · ⏱️ 19.11.2023): +- [PyPi](https://pypi.org/project/suod) (📥 86K / month · 📦 2 · ⏱️ 19.11.2023): ``` pip install suod ``` @@ -8735,61 +8687,61 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/mars-project/mars ``` -- [PyPi](https://pypi.org/project/pymars) (📥 31K / month · 📦 1 · ⏱️ 12.06.2022): +- [PyPi](https://pypi.org/project/pymars) (📥 30K / month · 📦 1 · ⏱️ 12.06.2022): ``` pip install pymars ```
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benchmark_VAE (🥉24 · ⭐ 1.5K · 📈) - Unifying Variational Autoencoder (VAE).. Apache-2 +
Feature Engine (🥉24 · ⭐ 1.5K · 💤) - Feature engineering package with sklearn like functionality. BSD-3 -- [GitHub](https://github.com/clementchadebec/benchmark_VAE) (👨‍💻 15 · 🔀 140 · 📦 17 · 📋 48 - 35% open · ⏱️ 22.10.2023): +- [GitHub](https://github.com/solegalli/feature_engine) (👨‍💻 38 · 🔀 270 · ⏱️ 07.12.2022): ``` - git clone https://github.com/clementchadebec/benchmark_VAE + git clone https://github.com/solegalli/feature_engine ``` -- [PyPi](https://pypi.org/project/pythae) (📥 9.6K / month · ⏱️ 06.09.2023): +- [PyPi](https://pypi.org/project/feature_engine) (📥 130K / month · 📦 94 · ⏱️ 18.09.2023): ``` - pip install pythae + pip install feature_engine + ``` +- [Conda](https://anaconda.org/conda-forge/feature_engine) (📥 43K · ⏱️ 19.09.2023): + ``` + conda install -c conda-forge feature_engine ```
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MONAILabel (🥉24 · ⭐ 470) - MONAI Label is an intelligent open source image labeling and.. Apache-2 +
MONAILabel (🥉24 · ⭐ 480) - MONAI Label is an intelligent open source image labeling and.. Apache-2 -- [GitHub](https://github.com/Project-MONAI/MONAILabel) (👨‍💻 54 · 🔀 170 · 📥 68K · 📋 470 - 19% open · ⏱️ 21.11.2023): +- [GitHub](https://github.com/Project-MONAI/MONAILabel) (👨‍💻 55 · 🔀 170 · 📥 68K · 📋 470 - 19% open · ⏱️ 05.12.2023): ``` git clone https://github.com/Project-MONAI/MONAILabel ``` -- [PyPi](https://pypi.org/project/monailabel-weekly) (📥 130 / month · ⏱️ 01.10.2023): +- [PyPi](https://pypi.org/project/monailabel-weekly) (📥 120 / month · ⏱️ 01.10.2023): ``` pip install monailabel-weekly ```
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dstack (🥉23 · ⭐ 870) - dstack simplifies training, fine-tuning, and deploying generative AI.. MPL-2.0 +
benchmark_VAE (🥉23 · ⭐ 1.6K) - Unifying Variational Autoencoder (VAE) implementations.. Apache-2 -- [GitHub](https://github.com/dstackai/dstack) (👨‍💻 14 · 🔀 53 · 📦 13 · 📋 420 - 2% open · ⏱️ 29.11.2023): +- [GitHub](https://github.com/clementchadebec/benchmark_VAE) (👨‍💻 15 · 🔀 140 · 📦 17 · 📋 49 - 34% open · ⏱️ 22.10.2023): ``` - git clone https://github.com/dstackai/dstack + git clone https://github.com/clementchadebec/benchmark_VAE ``` -- [PyPi](https://pypi.org/project/dstack) (📥 960 / month · ⏱️ 29.11.2023): +- [PyPi](https://pypi.org/project/pythae) (📥 12K / month · ⏱️ 06.09.2023): ``` - pip install dstack + pip install pythae ```
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BioPandas (🥉23 · ⭐ 650 · 📉) - Working with molecular structures in pandas DataFrames. BSD-3 +
dstack (🥉23 · ⭐ 870) - dstack simplifies training, fine-tuning, and deploying generative AI.. MPL-2.0 -- [GitHub](https://github.com/BioPandas/biopandas) (👨‍💻 15 · 🔀 120 · 📦 210 · 📋 56 - 41% open · ⏱️ 19.09.2023): +- [GitHub](https://github.com/dstackai/dstack) (👨‍💻 14 · 🔀 53 · 📦 13 · 📋 430 - 2% open · ⏱️ 06.12.2023): ``` - git clone https://github.com/rasbt/biopandas - ``` -- [PyPi](https://pypi.org/project/biopandas) (📥 87K / month · 📦 23 · ⏱️ 28.08.2023): - ``` - pip install biopandas + git clone https://github.com/dstackai/dstack ``` -- [Conda](https://anaconda.org/conda-forge/biopandas) (📥 150K · ⏱️ 16.06.2023): +- [PyPi](https://pypi.org/project/dstack) (📥 920 / month · ⏱️ 29.11.2023): ``` - conda install -c conda-forge biopandas + pip install dstack ```
AstroML (🥉22 · ⭐ 970 · 💤) - Machine learning, statistics, and data mining for astronomy and.. BSD-2 @@ -8799,7 +8751,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/astroML/astroML ``` -- [PyPi](https://pypi.org/project/astroML) (📥 920 / month · 📦 36 · ⏱️ 01.03.2022): +- [PyPi](https://pypi.org/project/astroML) (📥 930 / month · 📦 36 · ⏱️ 01.03.2022): ``` pip install astroML ``` @@ -8808,52 +8760,68 @@ _Libraries for connecting to, operating, and querying databases._ conda install -c conda-forge astroml ```
+
BioPandas (🥉22 · ⭐ 650) - Working with molecular structures in pandas DataFrames. BSD-3 + +- [GitHub](https://github.com/BioPandas/biopandas) (👨‍💻 15 · 🔀 120 · 📦 210 · 📋 56 - 41% open · ⏱️ 19.09.2023): + + ``` + git clone https://github.com/rasbt/biopandas + ``` +- [PyPi](https://pypi.org/project/biopandas) (📥 86K / month · 📦 23 · ⏱️ 28.08.2023): + ``` + pip install biopandas + ``` +- [Conda](https://anaconda.org/conda-forge/biopandas) (📥 150K · ⏱️ 16.06.2023): + ``` + conda install -c conda-forge biopandas + ``` +
pykale (🥉21 · ⭐ 410) - Knowledge-Aware machine LEarning (KALE): accessible machine learning.. MIT -- [GitHub](https://github.com/pykale/pykale) (👨‍💻 22 · 🔀 60 · 📦 1 · 📋 120 - 7% open · ⏱️ 29.11.2023): +- [GitHub](https://github.com/pykale/pykale) (👨‍💻 22 · 🔀 60 · 📦 1 · 📋 120 - 7% open · ⏱️ 01.12.2023): ``` git clone https://github.com/pykale/pykale ``` -- [PyPi](https://pypi.org/project/pykale) (📥 100 / month · ⏱️ 12.04.2022): +- [PyPi](https://pypi.org/project/pykale) (📥 95 / month · ⏱️ 12.04.2022): ``` pip install pykale ```
rrcf (🥉19 · ⭐ 460) - Implementation of the Robust Random Cut Forest algorithm for anomaly detection.. MIT -- [GitHub](https://github.com/kLabUM/rrcf) (👨‍💻 7 · 🔀 100 · 📦 56 · 📋 47 - 57% open · ⏱️ 12.08.2023): +- [GitHub](https://github.com/kLabUM/rrcf) (👨‍💻 7 · 🔀 100 · 📦 57 · 📋 47 - 57% open · ⏱️ 12.08.2023): ``` git clone https://github.com/kLabUM/rrcf ``` -- [PyPi](https://pypi.org/project/rrcf) (📥 3.1K / month · 📦 8 · ⏱️ 10.06.2020): +- [PyPi](https://pypi.org/project/rrcf) (📥 3.2K / month · 📦 8 · ⏱️ 30.04.2023): ``` pip install rrcf ```
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NeuralCompression (🥉17 · ⭐ 410) - A collection of tools for neural compression enthusiasts. MIT +
pymdp (🥉17 · ⭐ 330) - A Python implementation of active inference for Markov Decision Processes. MIT -- [GitHub](https://github.com/facebookresearch/NeuralCompression) (👨‍💻 9 · 🔀 40 · 📋 66 - 4% open · ⏱️ 08.11.2023): +- [GitHub](https://github.com/infer-actively/pymdp) (👨‍💻 14 · 🔀 54 · 📦 8 · 📋 37 - 32% open · ⏱️ 19.08.2023): ``` - git clone https://github.com/facebookresearch/NeuralCompression + git clone https://github.com/infer-actively/pymdp ``` -- [PyPi](https://pypi.org/project/neuralcompression) (📥 200 / month · ⏱️ 03.10.2023): +- [PyPi](https://pypi.org/project/inferactively-pymdp) (📥 120 / month · ⏱️ 08.12.2022): ``` - pip install neuralcompression + pip install inferactively-pymdp ```
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pymdp (🥉17 · ⭐ 330) - A Python implementation of active inference for Markov Decision Processes. MIT +
NeuralCompression (🥉16 · ⭐ 420) - A collection of tools for neural compression enthusiasts. MIT -- [GitHub](https://github.com/infer-actively/pymdp) (👨‍💻 14 · 🔀 54 · 📦 8 · 📋 37 - 32% open · ⏱️ 19.08.2023): +- [GitHub](https://github.com/facebookresearch/NeuralCompression) (👨‍💻 9 · 🔀 40 · 📋 66 - 4% open · ⏱️ 08.11.2023): ``` - git clone https://github.com/infer-actively/pymdp + git clone https://github.com/facebookresearch/NeuralCompression ``` -- [PyPi](https://pypi.org/project/inferactively-pymdp) (📥 110 / month · ⏱️ 08.12.2022): +- [PyPi](https://pypi.org/project/neuralcompression) (📥 140 / month · ⏱️ 03.10.2023): ``` - pip install inferactively-pymdp + pip install neuralcompression ```
KD-Lib (🥉15 · ⭐ 550 · 💤) - A Pytorch Knowledge Distillation library for benchmarking and.. MIT @@ -8863,7 +8831,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/SforAiDl/KD_Lib ``` -- [PyPi](https://pypi.org/project/KD-Lib) (📥 76 / month · ⏱️ 18.05.2022): +- [PyPi](https://pypi.org/project/KD-Lib) (📥 67 / month · ⏱️ 18.05.2022): ``` pip install KD-Lib ``` diff --git a/history/2023-12-07_changes.md b/history/2023-12-07_changes.md new file mode 100644 index 00000000..fa73eb0d --- /dev/null +++ b/history/2023-12-07_changes.md @@ -0,0 +1,30 @@ +## 📈 Trending Up + +_Projects that have a higher project-quality score compared to the last update. There might be a variety of reasons, such as increased downloads or code activity._ + +- scipy (🥇49 · ⭐ 12K · 📈) - Ecosystem of open-source software for mathematics, science, and.. BSD-3 +- Keras (🥇47 · ⭐ 60K · 📈) - Deep Learning for humans. Apache-2 +- Fastai (🥈40 · ⭐ 25K · 📈) - The fastai deep learning library. Apache-2 +- Coqui TTS (🥇38 · ⭐ 24K · 📈) - - a deep learning toolkit for Text-to-Speech, battle-.. MPL-2.0 +- SpeechRecognition (🥈34 · ⭐ 7.7K · 📈) - Speech recognition module for Python, supporting.. BSD-3 +- PennyLane (🥈34 · ⭐ 2K · 📈) - PennyLane is a cross-platform Python library for differentiable.. Apache-2 +- igraph (🥇34 · ⭐ 1.2K · 📈) - Python interface for igraph. ❗️GPL-2.0 +- hnswlib (🥈33 · ⭐ 3.7K · 📈) - Header-only C++/python library for fast approximate nearest.. Apache-2 +- patsy (🥈32 · ⭐ 900 · 📈) - Describing statistical models in Python using symbolic formulas. BSD-2 +- Torchbearer (🥉25 · ⭐ 630 · 📈) - torchbearer: A model fitting library for PyTorch. MIT + +## 📉 Trending Down + +_Projects that have a lower project-quality score compared to the last update. There might be a variety of reasons such as decreased downloads or code activity._ + +- DeepSpeed (🥇40 · ⭐ 30K · 📉) - DeepSpeed is a deep learning optimization library that.. Apache-2 +- Annoy (🥈33 · ⭐ 12K · 📉) - Approximate Nearest Neighbors in C++/Python optimized for memory.. Apache-2 +- ParlAI (🥈31 · ⭐ 10K · 📉) - A framework for training and evaluating AI models on a variety of.. MIT +- VisualDL (🥉28 · ⭐ 4.7K · 📉) - Deep Learning Visualization Toolkit. Apache-2 +- CuPy (🥈26 · ⭐ 7.4K · 📉) - NumPy & SciPy for GPU. MIT +- mtcnn (🥉26 · ⭐ 2.1K · 💀) - MTCNN face detection implementation for TensorFlow, as a PIP.. MIT +- pyts (🥉26 · ⭐ 1.6K · 📉) - A Python package for time series classification. BSD-3 +- DeepSpeech (🥉22 · ⭐ 23K · 📉) - DeepSpeech is an open source embedded (offline, on-.. MPL-2.0 +- sklearn-contrib-lightning (🥉20 · ⭐ 1.7K · 💀) - Large-scale linear classification, regression and.. BSD-3 +- BLINK (🥉14 · ⭐ 1.1K · 💀) - Entity Linker solution. MIT + diff --git a/history/2023-12-07_projects.csv b/history/2023-12-07_projects.csv new file mode 100644 index 00000000..f301256e --- /dev/null +++ b/history/2023-12-07_projects.csv @@ -0,0 +1,917 @@ +,name,github_id,category,resource,github_url,homepage,license,created_at,updated_at,last_commit_pushed_at,commit_count,recent_commit_count,fork_count,watchers_count,pr_count,open_issue_count,closed_issue_count,star_count,description,contributor_count,projectrank,show,latest_stable_release_published_at,latest_stable_release_number,release_count,pypi_id,conda_id,dockerhub_id,docs_url,labels,dependent_project_count,github_dependent_project_count,pypi_url,pypi_latest_release_published_at,pypi_dependent_project_count,pypi_monthly_downloads,monthly_downloads,conda_url,conda_latest_release_published_at,conda_total_downloads,dockerhub_url,dockerhub_latest_release_published_at,dockerhub_stars,dockerhub_pulls,projectrank_placing,github_release_downloads,trending,helm_id,updated_github_id,npm_id,npm_url,npm_latest_release_published_at,npm_dependent_project_count,npm_monthly_downloads,brew_id,apt_id,yum_id,conda_dependent_project_count,maven_id,maven_url,maven_latest_release_published_at,maven_dependent_project_count,dnf_id,yay_id,snap_id +0,ANN Benchmarks,erikbern/ann-benchmarks,nn-search,True,https://github.com/erikbern/ann-benchmarks,https://github.com/erikbern/ann-benchmarks,MIT,2015-05-28 13:21:43.000,2023-11-30 18:08:27.000000,2023-10-23 18:26:19,1535.0,19.0,610.0,108.0,304.0,45.0,131.0,4223.0,Benchmarks of approximate nearest neighbor libraries in Python.,98.0,0,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +1,best-of-web-python - Web Scraping,ml-tooling/best-of-web-python,web-scraping,True,https://github.com/ml-tooling/best-of-web-python,https://github.com/ml-tooling/best-of-web-python#web-scraping--crawling,CC-BY-SA-4.0,2021-01-05 13:09:27.000,2023-11-30 16:29:34.000000,2023-11-30 16:29:33,288.0,23.0,154.0,52.0,172.0,1.0,2.0,2073.0,Collection of web-scraping and crawling libraries.,13.0,0,True,2023-11-30 16:29:39.000,2023.11.30,100.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +2,best-of-python - Data Extraction,ml-tooling/best-of-python,data-loading,True,https://github.com/ml-tooling/best-of-python,https://github.com/ml-tooling/best-of-python#data-loading--extraction,CC-BY-SA-4.0,2021-01-11 19:11:32.000,2023-12-07 13:41:43.000000,2023-11-30 16:04:38,305.0,25.0,222.0,87.0,173.0,4.0,4.0,3241.0,Collection of data-loading and -extraction libraries.,12.0,0,True,2023-11-30 16:04:44.000,2023.11.30,100.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +3,best-of-python - DB Clients,ml-tooling/best-of-python,db-clients,True,https://github.com/ml-tooling/best-of-python,https://github.com/ml-tooling/best-of-python#database-clients,CC-BY-SA-4.0,2021-01-11 19:11:32.000,2023-12-07 13:41:43.000000,2023-11-30 16:04:38,305.0,25.0,222.0,87.0,173.0,4.0,4.0,3241.0,Collection of database clients for python.,12.0,0,True,2023-11-30 16:04:44.000,2023.11.30,100.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +4,best-of-python - Data Containers,ml-tooling/best-of-python,data-containers,True,https://github.com/ml-tooling/best-of-python,https://github.com/ml-tooling/best-of-python#data-containers--dataframes,CC-BY-SA-4.0,2021-01-11 19:11:32.000,2023-12-07 13:41:43.000000,2023-11-30 16:04:38,305.0,25.0,222.0,87.0,173.0,4.0,4.0,3241.0,"Collection of data-container, dataframe, and pandas-utility libraries.",12.0,0,True,2023-11-30 16:04:44.000,2023.11.30,100.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +5,best-of-python - Data Pipelines,ml-tooling/best-of-python,data-pipelines,True,https://github.com/ml-tooling/best-of-python,https://github.com/ml-tooling/best-of-python#data-pipelines--streaming,CC-BY-SA-4.0,2021-01-11 19:11:32.000,2023-12-07 13:41:43.000000,2023-11-30 16:04:38,305.0,25.0,222.0,87.0,173.0,4.0,4.0,3241.0,"Libraries for data batch- and stream-processing, workflow automation, job scheduling, and other data pipeline tasks.",12.0,0,True,2023-11-30 16:04:44.000,2023.11.30,100.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +6,Tensorflow,tensorflow/tensorflow,ml-frameworks,,https://github.com/tensorflow/tensorflow,https://github.com/tensorflow/tensorflow,Apache-2.0,2015-11-07 01:19:20.000,2023-12-07 13:48:44.999370,2023-12-07 12:35:08,157045.0,3470.0,89188.0,7675.0,23549.0,2113.0,36494.0,181508.0,An Open Source Machine Learning Framework for Everyone.,4504.0,54,True,2023-11-14 19:04:31.000,2.15.0,189.0,tensorflow,conda-forge/tensorflow,tensorflow/tensorflow,https://www.tensorflow.org/overview,['tensorflow'],340531.0,325170.0,https://pypi.org/project/tensorflow,2023-12-05 22:50:47.000,15361.0,17170621.0,18349869.0,https://anaconda.org/conda-forge/tensorflow,2023-11-14 01:21:42.350,4433527.0,https://hub.docker.com/r/tensorflow/tensorflow,2023-12-07 13:48:44.999370,2240.0,75291588.0,1.0,,,,,,,,,,,,,,,,,,,, +7,PyTorch,pytorch/pytorch,ml-frameworks,,https://github.com/pytorch/pytorch,https://github.com/pytorch/pytorch,BSD-3-Clause,2016-08-13 05:26:41.000,2023-12-07 13:47:07.000000,2023-12-07 08:27:40,67145.0,3314.0,20103.0,1687.0,76678.0,13128.0,26165.0,73311.0,Tensors and Dynamic neural networks in Python with strong GPU acceleration.,4523.0,54,True,2023-11-15 22:59:33.000,2.1.1,47.0,torch,pytorch/pytorch,,https://pytorch.org/docs/stable/index.html,['pytorch'],367716.0,356103.0,https://pypi.org/project/torch,2023-11-15 16:42:26.000,11613.0,15689039.0,16418663.0,https://anaconda.org/pytorch/pytorch,2023-11-14 20:37:38.204,19690876.0,,,,,1.0,29035.0,,,,,,,,,,,,,,,,,,, +8,scikit-learn,scikit-learn/scikit-learn,ml-frameworks,,https://github.com/scikit-learn/scikit-learn,https://github.com/scikit-learn/scikit-learn,BSD-3-Clause,2010-08-17 09:43:38.000,2023-12-07 12:40:57.000000,2023-12-06 13:59:24,30724.0,370.0,24776.0,2151.0,16445.0,2264.0,8941.0,56624.0,scikit-learn: machine learning in Python.,3024.0,52,True,2023-10-25 08:23:32.000,1.3.2,73.0,scikit-learn,conda-forge/scikit-learn,,,['sklearn'],684277.0,653853.0,https://pypi.org/project/scikit-learn,2023-10-23 13:46:30.000,30424.0,44104554.0,44701694.0,https://anaconda.org/conda-forge/scikit-learn,2023-12-07 07:24:39.171,25676609.0,,,,,1.0,920.0,,,,,,,,,,,,,,,,,,, +9,transformers,huggingface/transformers,nlp,,https://github.com/huggingface/transformers,https://github.com/huggingface/transformers,Apache-2.0,2018-10-29 13:56:00.000,2023-12-07 14:09:36.000000,2023-12-07 14:09:30,14662.0,724.0,23020.0,1080.0,14084.0,925.0,12777.0,116643.0,"Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.",2293.0,50,True,2023-11-15 16:39:42.000,4.35.2,125.0,transformers,conda-forge/transformers,,,"['pytorch', 'tensorflow']",122185.0,119637.0,https://pypi.org/project/transformers,2023-11-15 16:38:58.000,2548.0,18243118.0,18278703.0,https://anaconda.org/conda-forge/transformers,2023-11-17 08:43:43.342,1459022.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +10,Matplotlib,matplotlib/matplotlib,data-viz,,https://github.com/matplotlib/matplotlib,https://github.com/matplotlib/matplotlib,Python-2.0,2011-02-19 03:17:12.000,2023-12-07 14:14:58.000000,2023-12-07 14:14:58,49206.0,782.0,7327.0,590.0,17480.0,1548.0,8780.0,18524.0,matplotlib: plotting with Python.,1625.0,50,True,2023-11-18 03:45:11.000,3.7.4,119.0,matplotlib,conda-forge/matplotlib,,,,1086878.0,1023484.0,https://pypi.org/project/matplotlib,2023-11-18 03:45:11.000,63394.0,45254014.0,45762975.0,https://anaconda.org/conda-forge/matplotlib,2023-11-20 21:33:42.497,21376401.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +11,scipy,scipy/scipy,others,,https://github.com/scipy/scipy,https://github.com/scipy/scipy,BSD-3-Clause,2011-03-09 18:52:03.000,2023-12-07 13:52:25.000000,2023-12-07 06:35:24,31208.0,365.0,4929.0,347.0,10084.0,1719.0,8096.0,11963.0,"Ecosystem of open-source software for mathematics, science, and engineering.",1563.0,49,True,2023-11-18 21:48:38.000,1.11.4,98.0,scipy,conda-forge/scipy,,,,939885.0,874603.0,https://pypi.org/project/scipy,2023-11-18 21:01:18.000,65282.0,67382033.0,68576087.0,https://anaconda.org/conda-forge/scipy,2023-11-24 10:16:45.681,44037284.0,,,,,1.0,389706.0,2.0,,,,,,,,,,,,,,,,,, +12,Keras,keras-team/keras,ml-frameworks,,https://github.com/keras-team/keras,https://github.com/keras-team/keras,Apache-2.0,2015-03-28 00:35:42.000,2023-12-07 08:27:19.000000,2023-12-06 22:23:17,10147.0,547.0,19493.0,1914.0,6798.0,128.0,11315.0,59977.0,Deep Learning for humans.,1260.0,47,True,2023-12-06 21:13:04.000,3.0.1,87.0,keras,conda-forge/keras,,https://keras.io,['tensorflow'],716.0,21.0,https://pypi.org/project/keras,2023-12-06 21:13:04.000,695.0,13373231.0,13452639.0,https://anaconda.org/conda-forge/keras,2023-11-15 08:53:46.597,3335142.0,,,,,1.0,,1.0,,,,,,,,,,,,,,,,,, +13,Pillow,python-pillow/Pillow,image,,https://github.com/python-pillow/Pillow,https://github.com/python-pillow/Pillow,PIL,2012-07-24 21:38:39.000,2023-12-07 12:16:34.000000,2023-12-06 21:49:28,16677.0,459.0,2108.0,224.0,4500.0,101.0,2885.0,11301.0,Python Imaging Library (Fork).,453.0,47,True,2023-10-15 13:05:17.000,10.1.0,95.0,Pillow,conda-forge/pillow,,,,1517717.0,1450465.0,https://pypi.org/project/Pillow,2023-10-15 13:01:25.000,67252.0,73609567.0,74465834.0,https://anaconda.org/conda-forge/pillow,2023-10-16 03:42:18.439,35106975.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +14,jax,google/jax,ml-frameworks,,https://github.com/google/jax,https://github.com/google/jax,Apache-2.0,2018-10-25 21:25:02.000,2023-12-07 13:15:17.000000,2023-12-07 12:52:10,18533.0,1177.0,2413.0,320.0,11797.0,1483.0,3559.0,25861.0,"Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more.",606.0,46,True,2023-12-04 22:40:38.000,0.4.21,155.0,jax,conda-forge/jaxlib,,,,20669.0,19903.0,https://pypi.org/project/jax,2023-12-04 22:40:38.000,766.0,4119153.0,4143004.0,https://anaconda.org/conda-forge/jaxlib,2023-10-25 14:41:56.031,1001755.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +15,SymPy,sympy/sympy,others,,https://github.com/sympy/sympy,https://github.com/sympy/sympy,BSD-3-Clause,2010-04-30 20:37:14.000,2023-12-07 14:53:00.000000,2023-12-07 14:52:59,56733.0,721.0,4134.0,288.0,12799.0,4885.0,8578.0,11609.0,A computer algebra system written in pure Python.,1261.0,46,True,2023-05-10 18:09:23.000,sympy-1.12,50.0,sympy,conda-forge/sympy,,,,102379.0,97585.0,https://pypi.org/project/sympy,2023-05-10 18:24:09.226,4794.0,10224217.0,10280778.0,https://anaconda.org/conda-forge/sympy,2023-06-16 13:17:18.981,4765099.0,,,,,1.0,524789.0,,,,,,,,,,,,,,,,,,, +16,PySpark,apache/spark,ml-frameworks,,https://github.com/apache/spark,https://github.com/apache/spark,Apache-2.0,2014-02-25 08:00:08.000,2023-12-07 13:37:24.000000,2023-12-07 12:48:34,39126.0,1098.0,28033.0,2033.0,44210.0,220.0,,37346.0,Apache Spark Python API.,2986.0,45,True,2023-11-30 10:15:03.000,3.4.2,41.0,pyspark,conda-forge/pyspark,,,['spark'],1222.0,,https://pypi.org/project/pyspark,2023-11-30 10:15:03.000,1222.0,26976455.0,27046627.0,https://anaconda.org/conda-forge/pyspark,2023-10-04 13:44:45.676,2947261.0,,,,,1.0,,,stable/spark,,,,,,,,,,,,,,,,, +17,Ray,ray-project/ray,distributed-ml,,https://github.com/ray-project/ray,https://github.com/ray-project/ray,Apache-2.0,2016-10-25 19:38:30.000,2023-12-07 14:00:48.000000,2023-12-07 12:44:01,20059.0,972.0,4953.0,469.0,25334.0,3472.0,12979.0,28935.0,Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a..,949.0,45,True,2023-12-04 20:55:26.000,2.7.2,95.0,ray,conda-forge/ray-tune,,,,13067.0,12624.0,https://pypi.org/project/ray,2023-12-04 20:55:26.000,443.0,2567278.0,2572183.0,https://anaconda.org/conda-forge/ray-tune,2023-12-05 13:59:54.326,176547.0,,,,,1.0,133.0,,,,,,,,,,,,,,,,,,, +18,spaCy,explosion/spaCy,nlp,,https://github.com/explosion/spaCy,https://github.com/explosion/spaCy,MIT,2014-07-03 15:15:40.000,2023-12-07 12:49:20.000000,2023-12-04 14:15:54,16077.0,64.0,4233.0,565.0,3925.0,93.0,5439.0,27741.0,Industrial-strength Natural Language Processing (NLP) in Python.,745.0,45,True,2023-10-16 16:11:22.000,3.7.2,226.0,spacy,conda-forge/spacy,,,,78441.0,75541.0,https://pypi.org/project/spacy,2023-10-16 16:09:47.000,2900.0,6717644.0,6796108.0,https://anaconda.org/conda-forge/spacy,2023-11-05 20:08:03.012,3295510.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +19,pytorch-lightning,Lightning-AI/lightning,ml-frameworks,,https://github.com/Lightning-AI/pytorch-lightning,https://github.com/Lightning-AI/pytorch-lightning,Apache-2.0,2019-03-31 00:45:57.000,2023-12-07 13:48:10.000000,2023-12-07 13:48:08,9979.0,319.0,3070.0,244.0,9738.0,726.0,5976.0,25344.0,"Deep learning framework to train, finetune and deploy AI models.",916.0,45,True,2023-11-15 22:40:08.000,2.1.2,262.0,pytorch-lightning,conda-forge/pytorch-lightning,,,['pytorch'],27490.0,26743.0,https://pypi.org/project/pytorch-lightning,2023-11-15 22:40:08.000,747.0,4673865.0,4698555.0,https://anaconda.org/conda-forge/pytorch-lightning,2023-11-17 05:31:05.209,1019542.0,,,,,1.0,13736.0,,,Lightning-AI/pytorch-lightning,,,,,,,,,,,,,,,, +20,PaddlePaddle,PaddlePaddle/Paddle,ml-frameworks,,https://github.com/PaddlePaddle/Paddle,https://github.com/PaddlePaddle/Paddle,Apache-2.0,2016-08-15 06:59:08.000,2023-12-07 14:10:19.000000,2023-12-07 13:41:22,45289.0,1771.0,5350.0,726.0,42048.0,2024.0,16482.0,21097.0,PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice &.,1144.0,45,True,2023-10-25 08:55:59.000,2.5.2,65.0,paddlepaddle,,,,['paddle'],4449.0,4360.0,https://pypi.org/project/paddlepaddle,2023-10-25 08:55:59.000,89.0,180307.0,180481.0,,,,,,,,1.0,15368.0,,,,,,,,,,,,,,,,,,, +21,Bokeh,bokeh/bokeh,data-viz,,https://github.com/bokeh/bokeh,https://github.com/bokeh/bokeh,BSD-3-Clause,2012-03-26 15:40:01.000,2023-12-07 11:18:14.000000,2023-12-07 04:39:37,20325.0,121.0,4196.0,444.0,5909.0,769.0,6767.0,18380.0,"Interactive Data Visualization in the browser, from Python.",678.0,45,True,2023-12-01 19:01:10.000,3.3.2,187.0,bokeh,conda-forge/bokeh,,,,84006.0,80225.0,https://pypi.org/project/bokeh,2023-12-01 19:01:10.000,3781.0,3602666.0,3916156.0,https://anaconda.org/conda-forge/bokeh,2023-12-01 23:42:13.932,13166612.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +22,XGBoost,dmlc/xgboost,ml-frameworks,,https://github.com/dmlc/xgboost,https://github.com/dmlc/xgboost,Apache-2.0,2014-02-06 17:28:03.000,2023-12-06 21:17:15.000000,2023-12-06 21:17:15,6663.0,120.0,8688.0,914.0,4842.0,399.0,4665.0,25064.0,"Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and..",630.0,44,True,2023-11-13 00:33:35.000,2.0.2,79.0,xgboost,conda-forge/xgboost,,https://xgboost.readthedocs.io/en/latest/,,75775.0,74007.0,https://pypi.org/project/xgboost,2023-11-13 00:33:35.000,1768.0,10812950.0,10921224.0,https://anaconda.org/conda-forge/xgboost,2023-11-17 02:03:43.585,4436560.0,,,,,2.0,7751.0,,,,,,,,,,,,,,,,,,, +23,mlflow,mlflow/mlflow,ml-experiments,,https://github.com/mlflow/mlflow,https://github.com/mlflow/mlflow,Apache-2.0,2018-06-05 16:05:58.000,2023-12-07 14:20:10.000000,2023-12-07 09:28:34,5111.0,503.0,3724.0,292.0,7110.0,1283.0,2279.0,15991.0,Open source platform for the machine learning lifecycle.,680.0,44,True,2023-12-07 08:00:18.000,2.9.1,86.0,mlflow,conda-forge/mlflow,,,,27543.0,27026.0,https://pypi.org/project/mlflow,2023-12-07 05:22:14.000,517.0,14730677.0,14770380.0,https://anaconda.org/conda-forge/mlflow,2023-12-07 08:34:30.951,1667527.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +24,Plotly,plotly/plotly.py,data-viz,,https://github.com/plotly/plotly.py,https://github.com/plotly/plotly.py,MIT,2013-11-21 05:53:08.000,2023-12-06 21:07:11.000000,2023-11-30 20:53:28,6255.0,72.0,2392.0,281.0,1577.0,1408.0,1367.0,14525.0,The interactive graphing library for Python This project now includes Plotly Express!.,252.0,44,True,2023-10-25 19:52:56.000,5.18.0,294.0,plotly,conda-forge/plotly,,,,227404.0,221975.0,https://pypi.org/project/plotly,2023-10-25 19:43:41.000,5423.0,11517837.0,11688710.0,https://anaconda.org/conda-forge/plotly,2023-10-25 22:33:48.925,5101664.0,,,,,1.0,,,,,plotlywidget,https://www.npmjs.com/package/plotlywidget,2021-01-12 16:09:46.133,6.0,52230.0,,,,,,,,,,, +25,networkx,networkx/networkx,graph,,https://github.com/networkx/networkx,https://github.com/networkx/networkx,BSD-3-Clause,2010-09-06 00:53:44.000,2023-12-06 23:30:32.000000,2023-12-06 15:04:36,7523.0,140.0,3095.0,275.0,3560.0,397.0,2914.0,13534.0,Network Analysis in Python.,697.0,44,True,2023-10-28 09:53:23.000,networkx-3.2.1,92.0,networkx,conda-forge/networkx,,,,220675.0,205735.0,https://pypi.org/project/networkx,2023-10-28 08:41:36.000,14940.0,34534970.0,34891947.0,https://anaconda.org/conda-forge/networkx,2023-10-28 14:55:59.129,14279090.0,,,,,1.0,65.0,,,,,,,,,,,,,,,,,,, +26,Seaborn,mwaskom/seaborn,data-viz,,https://github.com/mwaskom/seaborn,https://github.com/mwaskom/seaborn,BSD-3-Clause,2012-06-18 18:41:19.000,2023-12-06 13:23:00.000000,2023-12-06 02:38:16,3210.0,37.0,1812.0,259.0,1073.0,115.0,2322.0,11439.0,Statistical data visualization in Python.,208.0,44,True,2023-09-29 19:01:44.000,0.13.0,35.0,seaborn,conda-forge/seaborn,,,,345136.0,333797.0,https://pypi.org/project/seaborn,2023-09-29 18:58:33.000,11339.0,12687519.0,12874530.0,https://anaconda.org/conda-forge/seaborn,2023-10-02 16:03:37.621,7854398.0,,,,,1.0,332.0,,,,,,,,,,,,,,,,,,, +27,Gradio,gradio-app/gradio,others,,https://github.com/gradio-app/gradio,https://github.com/gradio-app/gradio,Apache-2.0,2018-12-19 08:24:04.000,2023-12-07 14:57:38.000000,2023-12-07 01:35:19,5996.0,379.0,1731.0,144.0,3010.0,462.0,2884.0,24543.0,"Wrap UIs around any model, share with anyone.",231.0,43,True,2023-12-05 00:19:30.000,4.8.0,534.0,gradio,,,,,18656.0,18426.0,https://pypi.org/project/gradio,2023-12-05 00:19:30.000,230.0,3621971.0,3621971.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +28,onnx,onnx/onnx,model-serialisation,,https://github.com/onnx/onnx,https://github.com/onnx/onnx,Apache-2.0,2017-09-07 04:53:45.000,2023-12-07 09:37:16.000000,2023-12-05 21:19:28,2605.0,95.0,3612.0,440.0,3035.0,307.0,2294.0,16009.0,Open standard for machine learning interoperability.,300.0,43,True,2023-10-31 17:04:56.000,1.15.0,31.0,onnx,conda-forge/onnx,,,,22058.0,21417.0,https://pypi.org/project/onnx,2023-10-26 18:30:51.000,641.0,4315407.0,4336820.0,https://anaconda.org/conda-forge/onnx,2023-11-07 18:53:33.533,888273.0,,,,,1.0,19608.0,,,,,,,,,,,,,,,,,,, +29,LightGBM,microsoft/LightGBM,ml-frameworks,,https://github.com/microsoft/LightGBM,https://github.com/microsoft/LightGBM,MIT,2016-08-05 05:45:50.000,2023-12-07 13:15:41.000000,2023-12-06 18:56:27,3386.0,51.0,3777.0,439.0,3036.0,345.0,2867.0,15719.0,"A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision..",290.0,43,True,2023-09-12 02:08:33.000,4.1.0,34.0,lightgbm,conda-forge/lightgbm,,,,28493.0,27642.0,https://pypi.org/project/lightgbm,2023-09-12 02:08:33.000,851.0,6691559.0,6748744.0,https://anaconda.org/conda-forge/lightgbm,2023-10-25 14:14:10.430,2128789.0,,,,,2.0,208122.0,,,,,,,,,,,,,,,,,,, +30,nltk,nltk/nltk,nlp,,https://github.com/nltk/nltk,https://github.com/nltk/nltk,Apache-2.0,2009-09-07 10:53:58.000,2023-11-29 14:59:13.000000,2023-11-09 20:19:22,14452.0,7.0,2781.0,467.0,1435.0,267.0,1493.0,12572.0,Suite of libraries and programs for symbolic and statistical natural language processing for English.,444.0,43,True,2023-07-20 15:52:53.307,0.9.9,59.0,nltk,conda-forge/nltk,,,,248946.0,236189.0,https://pypi.org/project/nltk,2023-07-20 15:52:53.307,12757.0,13231961.0,13258822.0,https://anaconda.org/conda-forge/nltk,2023-06-16 13:20:53.756,2363788.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +31,dask,dask/dask,distributed-ml,,https://github.com/dask/dask,https://github.com/dask/dask,BSD-3-Clause,2015-01-04 18:50:00.000,2023-12-06 16:20:56.000000,2023-12-06 08:40:06,7925.0,62.0,1661.0,212.0,5534.0,1020.0,4051.0,11587.0,Parallel computing with task scheduling.,590.0,43,True,2023-12-01 23:25:41.000,2023.12.0,185.0,dask,conda-forge/dask,,,,58219.0,55154.0,https://pypi.org/project/dask,2023-12-01 23:25:41.000,3065.0,6590139.0,6835454.0,https://anaconda.org/conda-forge/dask,2023-12-02 01:29:12.432,10548575.0,,,,,1.0,,,stable/dask,,,,,,,,,,,,,,,,, +32,StatsModels,statsmodels/statsmodels,ml-frameworks,,https://github.com/statsmodels/statsmodels,https://github.com/statsmodels/statsmodels,BSD-3-Clause,2011-06-12 17:04:50.000,2023-12-07 13:24:09.000000,2023-12-06 11:47:00,15141.0,37.0,2754.0,278.0,3817.0,2653.0,2719.0,9100.0,Statsmodels: statistical modeling and econometrics in Python.,417.0,43,True,2023-05-05 11:36:02.375,0.14.0,35.0,statsmodels,conda-forge/statsmodels,,,,114624.0,109161.0,https://pypi.org/project/statsmodels,2023-05-05 11:36:02.375,5463.0,11453030.0,11737392.0,https://anaconda.org/conda-forge/statsmodels,2023-10-05 23:45:15.777,11943230.0,,,,,2.0,30.0,,,,,,,,,,,,,,,,,,, +33,Tensorboard,tensorflow/tensorboard,ml-experiments,,https://github.com/tensorflow/tensorboard,https://github.com/tensorflow/tensorboard,Apache-2.0,2017-05-15 20:08:07.000,2023-12-07 06:17:46.000000,2023-12-07 06:17:46,5727.0,79.0,1625.0,195.0,4866.0,643.0,1218.0,6422.0,TensorFlows Visualization Toolkit.,309.0,43,True,2023-11-02 20:49:50.000,2.15.1,56.0,tensorboard,conda-forge/tensorboard,,,['tensorflow'],205653.0,202770.0,https://pypi.org/project/tensorboard,2023-11-02 20:49:50.000,2883.0,21837064.0,21942748.0,https://anaconda.org/conda-forge/tensorboard,2023-11-03 15:31:12.158,4438732.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +34,torchvision,pytorch/vision,image,,https://github.com/pytorch/vision,https://github.com/pytorch/vision,BSD-3-Clause,2016-11-09 23:11:43.000,2023-12-07 11:34:42.000000,2023-12-06 16:18:56,3750.0,75.0,6818.0,398.0,5097.0,945.0,2283.0,14862.0,"Datasets, Transforms and Models specific to Computer Vision.",560.0,42,True,2023-11-15 22:18:12.000,0.16.1,39.0,torchvision,conda-forge/torchvision,,,['pytorch'],4858.0,21.0,https://pypi.org/project/torchvision,2023-11-15 16:45:49.000,4837.0,9964631.0,9993458.0,https://anaconda.org/conda-forge/torchvision,2023-11-29 04:14:14.487,937198.0,,,,,1.0,34307.0,,,,,,,,,,,,,,,,,,, +35,pydeck,visgl/deck.gl,geospatial-data,,https://github.com/visgl/deck.gl,https://github.com/visgl/deck.gl,MIT,2015-12-15 08:38:29.000,2023-12-07 10:40:30.000000,2023-12-01 21:28:34,4589.0,83.0,2052.0,1696.0,4428.0,282.0,2564.0,11379.0,WebGL2 powered visualization framework.,240.0,42,True,2023-12-05 13:38:21.826,8.9.33,624.0,pydeck,conda-forge/pydeck,,,['jupyter'],7378.0,6846.0,https://pypi.org/project/pydeck,2023-04-15 06:29:01.705,52.0,1926685.0,2379220.0,https://anaconda.org/conda-forge/pydeck,2023-06-16 19:17:51.392,464813.0,,,,,1.0,,,,,deck.gl,https://www.npmjs.com/package/deck.gl,2023-12-05 13:38:21.826,480.0,442431.0,,,,,,,,,,, +36,Altair,altair-viz/altair,data-viz,,https://github.com/altair-viz/altair,https://github.com/altair-viz/altair,BSD-3-Clause,2015-09-19 03:14:04.000,2023-12-06 17:51:23.000000,2023-12-06 17:51:23,3607.0,44.0,778.0,143.0,1305.0,175.0,1722.0,8586.0,Declarative statistical visualization library for Python.,159.0,42,True,2023-11-28 06:23:39.000,5.2.0,39.0,altair,conda-forge/altair,,,,92441.0,91810.0,https://pypi.org/project/altair,2023-11-28 05:41:35.000,631.0,15382617.0,15470270.0,https://anaconda.org/conda-forge/altair,2023-12-05 00:22:25.208,2103669.0,,,,,1.0,91.0,,,,,,,,,,,,,,,,,,, +37,scikit-image,scikit-image/scikit-image,image,,https://github.com/scikit-image/scikit-image,https://github.com/scikit-image/scikit-image,,2011-07-07 22:07:20.000,2023-12-07 11:32:50.000000,2023-11-30 14:06:51,13785.0,98.0,2214.0,186.0,4321.0,742.0,2030.0,5694.0,Image processing in Python.,641.0,42,False,2023-10-03 21:36:37.000,0.22.0,59.0,scikit-image,conda-forge/scikit-image,,,,173045.0,162682.0,https://pypi.org/project/scikit-image,2023-10-03 21:35:27.000,10363.0,9576444.0,9715278.0,https://anaconda.org/conda-forge/scikit-image,2023-10-11 16:58:18.971,5831058.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +38,OpenAI Gym,openai/gym,reinforcement-learning,,https://github.com/openai/gym,https://github.com/openai/gym,MIT,2016-04-27 14:59:16.000,2023-10-22 22:49:37.000000,2023-01-30 18:15:21,1757.0,,8561.0,1065.0,1449.0,73.0,1716.0,33221.0,A toolkit for developing and comparing reinforcement learning algorithms.,384.0,41,True,2023-07-20 15:30:49.667,0.0.1,108.0,gym,conda-forge/gym,,,,50786.0,48101.0,https://pypi.org/project/gym,2023-07-20 15:30:49.667,2685.0,921945.0,927834.0,https://anaconda.org/conda-forge/gym,2023-06-16 19:18:41.854,259125.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +39,Streamlit,streamlit/streamlit,others,,https://github.com/streamlit/streamlit,https://github.com/streamlit/streamlit,Apache-2.0,2019-08-24 00:14:52.000,2023-12-07 06:44:23.000000,2023-12-07 00:26:21,5972.0,243.0,2579.0,304.0,3956.0,701.0,3071.0,28897.0,Streamlit A faster way to build and share data apps.,211.0,41,True,2023-11-30 20:05:51.000,1.29.0,212.0,streamlit,,,,,1233.0,,https://pypi.org/project/streamlit,2023-11-30 20:05:42.000,1233.0,3011621.0,3011621.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +40,PyTorch Image Models,rwightman/pytorch-image-models,image,,https://github.com/huggingface/pytorch-image-models,https://github.com/huggingface/pytorch-image-models,Apache-2.0,2019-02-02 05:51:12.000,2023-12-05 20:04:52.000000,2023-12-05 20:04:38,2107.0,91.0,4412.0,307.0,425.0,66.0,754.0,27917.0,"PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT),..",125.0,41,True,2023-11-24 19:09:08.000,0.9.12,55.0,timm,conda-forge/timm,,,['pytorch'],19963.0,19616.0,https://pypi.org/project/timm,2023-11-24 18:56:31.000,347.0,3453368.0,3563190.0,https://anaconda.org/conda-forge/timm,2023-11-25 15:42:55.281,114443.0,,,,,1.0,5886716.0,,,huggingface/pytorch-image-models,,,,,,,,,,,,,,,, +41,Milvus,milvus-io/milvus,nn-search,,https://github.com/milvus-io/milvus,https://github.com/milvus-io/milvus,Apache-2.0,2019-09-16 06:43:43.000,2023-12-07 14:06:41.000000,2023-12-07 09:00:35,18586.0,649.0,2451.0,346.0,17957.0,674.0,9003.0,24469.0,"A cloud-native vector database, storage for next generation AI applications.",259.0,41,True,2023-12-04 09:02:10.000,2.3.4,100.0,pymilvus,,milvusdb/milvus,,,76.0,,https://pypi.org/project/pymilvus,2023-12-04 09:02:10.000,76.0,519225.0,700397.0,,,,https://hub.docker.com/r/milvusdb/milvus,2023-12-07 09:19:13.579586,38.0,9016107.0,1.0,57025.0,,,,,,,,,,,,,,,,,,, +42,shap,slundberg/shap,interpretability,,https://github.com/shap/shap,https://github.com/shap/shap,MIT,2016-11-22 19:17:08.000,2023-12-07 12:56:31.000000,2023-12-07 12:12:16,2579.0,78.0,3064.0,254.0,778.0,1409.0,947.0,20675.0,A game theoretic approach to explain the output of any machine learning model.,229.0,41,True,2023-12-07 12:26:48.000,0.44.0,100.0,shap,conda-forge/shap,,,,15105.0,14664.0,https://pypi.org/project/shap,2023-12-07 12:26:48.000,441.0,7287990.0,7349653.0,https://anaconda.org/conda-forge/shap,2023-10-09 21:10:21.871,2219879.0,,,,,1.0,,,,shap/shap,,,,,,,,,,,,,,,, +43,Rasa,RasaHQ/rasa,nlp,,https://github.com/RasaHQ/rasa,https://github.com/RasaHQ/rasa,Apache-2.0,2016-10-14 12:27:49.000,2023-12-05 16:10:15.000000,2023-11-29 14:40:08,32592.0,104.0,4489.0,351.0,6297.0,112.0,6641.0,17298.0,"Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management,..",591.0,41,True,2023-12-05 16:10:28.000,3.5.17,368.0,rasa,,,,['tensorflow'],3878.0,3811.0,https://pypi.org/project/rasa,2023-12-05 16:10:15.000,67.0,142312.0,142312.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +44,DVC,iterative/dvc,ml-experiments,,https://github.com/iterative/dvc,https://github.com/iterative/dvc,Apache-2.0,2017-03-04 08:16:33.000,2023-12-07 13:44:46.000000,2023-12-07 11:46:18,9099.0,134.0,1128.0,136.0,5276.0,587.0,3951.0,12590.0,ML Experiments Management with Git.,289.0,41,True,2023-12-06 16:43:19.000,3.33.3,496.0,dvc,conda-forge/dvc,,,,11089.0,11002.0,https://pypi.org/project/dvc,2023-12-06 16:43:19.000,87.0,835952.0,881133.0,https://anaconda.org/conda-forge/dvc,2023-12-06 02:36:09.937,1736778.0,,,,,1.0,45963.0,,,,,,,,,dvc,dvc,dvc,,,,,,,, +45,wandb client,wandb/client,ml-experiments,,https://github.com/wandb/wandb,https://github.com/wandb/wandb,MIT,2017-03-24 05:46:23.000,2023-12-07 07:29:02.000000,2023-12-05 21:22:38,5977.0,192.0,582.0,54.0,3809.0,784.0,2077.0,7557.0,A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.,168.0,41,True,2023-12-05 18:58:08.000,0.16.1,266.0,wandb,conda-forge/wandb,,,,34765.0,34104.0,https://pypi.org/project/wandb,2023-12-05 18:51:59.000,661.0,8036469.0,8046959.0,https://anaconda.org/conda-forge/wandb,2023-12-05 22:51:30.208,430110.0,,,,,1.0,,,,wandb/wandb,,,,,,,,,,,,,,,, +46,Catboost,catboost/catboost,ml-frameworks,,https://github.com/catboost/catboost,https://github.com/catboost/catboost,Apache-2.0,2017-07-18 05:29:04.000,2023-12-06 12:12:37.000000,2023-12-06 12:12:33,46990.0,534.0,1139.0,197.0,373.0,521.0,1644.0,7490.0,"A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification,..",1186.0,41,True,2023-09-19 20:01:10.000,1.2.2,109.0,catboost,conda-forge/catboost,,,,366.0,11.0,https://pypi.org/project/catboost,2023-09-19 18:13:58.000,355.0,1977314.0,2018476.0,https://anaconda.org/conda-forge/catboost,2023-09-19 20:23:11.996,1424741.0,,,,,2.0,199247.0,,,,,,,,,,,,,,,,,,, +47,DeepSpeed,microsoft/DeepSpeed,distributed-ml,,https://github.com/microsoft/DeepSpeed,https://github.com/microsoft/DeepSpeed,Apache-2.0,2020-01-23 18:35:18.000,2023-12-07 12:14:55.000000,2023-12-05 18:42:34,1973.0,181.0,3629.0,305.0,2336.0,860.0,1451.0,30010.0,"DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and..",268.0,40,True,2023-12-01 19:34:03.000,0.12.4,79.0,deepspeed,,deepspeed/deepspeed,,['pytorch'],5086.0,4999.0,https://pypi.org/project/deepspeed,2023-12-01 19:34:03.000,87.0,402229.0,402597.0,,,,https://hub.docker.com/r/deepspeed/deepspeed,2022-09-02 00:25:31.275782,4.0,17327.0,1.0,,-1.0,,,,,,,,,,,,,,,,,, +48,Fastai,fastai/fastai,ml-frameworks,,https://github.com/fastai/fastai,https://github.com/fastai/fastai,Apache-2.0,2017-09-09 17:43:36.000,2023-12-03 17:32:53.000000,2023-12-02 00:09:58,2731.0,32.0,7453.0,616.0,2210.0,183.0,1581.0,24889.0,The fastai deep learning library.,662.0,40,True,2023-10-15 04:04:44.000,2.7.13,147.0,fastai,,,,['pytorch'],15841.0,15500.0,https://pypi.org/project/fastai,2023-10-15 04:04:44.000,341.0,514693.0,514693.0,,,,,,,,2.0,,2.0,,,,,,,,,,,,,,,,,, +49,dash,plotly/dash,data-viz,,https://github.com/plotly/dash,https://github.com/plotly/dash,MIT,2015-04-10 01:53:08.000,2023-12-01 19:07:19.000000,2023-12-01 19:07:19,7083.0,67.0,2008.0,413.0,1006.0,804.0,842.0,19738.0,Data Apps & Dashboards for Python. No JavaScript Required.,142.0,40,True,2023-11-28 00:56:54.000,2.14.2,174.0,dash,conda-forge/dash,,,,56763.0,55325.0,https://pypi.org/project/dash,2023-11-28 00:51:13.000,1438.0,2289902.0,2317496.0,https://anaconda.org/conda-forge/dash,2023-11-28 06:37:33.255,1158988.0,,,,,1.0,9.0,,,,,,,,,,,,,,,,,,, +50,Jina,jina-ai/jina,ml-frameworks,,https://github.com/jina-ai/jina,https://github.com/jina-ai/jina,Apache-2.0,2020-02-13 17:04:44.000,2023-12-06 19:24:37.113593,2023-12-06 19:03:22,8505.0,69.0,2193.0,205.0,4148.0,17.0,1907.0,19416.0,Build multimodal AI applications with cloud-native stack.,177.0,40,True,2023-12-01 09:27:38.000,3.23.1,2453.0,jina,conda-forge/jina-core,jinaai/jina,,,1364.0,1348.0,https://pypi.org/project/jina,2023-12-01 09:24:26.000,16.0,68164.0,97712.0,https://anaconda.org/conda-forge/jina-core,2023-06-16 19:27:18.682,58251.0,https://hub.docker.com/r/jinaai/jina,2023-12-06 19:24:37.113593,8.0,1260027.0,2.0,,,,,,,,,,,,,,,,,,,, +51,gensim,RaRe-Technologies/gensim,nlp,,https://github.com/piskvorky/gensim,https://github.com/piskvorky/gensim,LGPL-2.1,2011-02-10 07:43:04.000,2023-12-02 15:25:20.000000,2023-10-01 14:51:00,4509.0,3.0,4375.0,432.0,1682.0,375.0,1444.0,14836.0,Topic Modelling for Humans.,447.0,40,True,2023-08-24 08:48:21.000,4.3.2,93.0,gensim,conda-forge/gensim,,,,56347.0,53210.0,https://pypi.org/project/gensim,2023-08-24 08:48:21.000,3137.0,3915530.0,3951391.0,https://anaconda.org/conda-forge/gensim,2023-08-24 12:30:21.806,1181925.0,,,,,1.0,4544.0,,,piskvorky/gensim,,,,,,,,,,,,,,,, +52,PyMC3,pymc-devs/pymc,probabilistics,,https://github.com/pymc-devs/pymc,https://github.com/pymc-devs/pymc,Apache-2.0,2009-05-05 09:43:50.000,2023-12-07 12:09:27.000000,2023-11-29 13:18:22,9702.0,77.0,1873.0,229.0,3776.0,240.0,2945.0,7909.0,Bayesian Modeling and Probabilistic Programming in Python.,474.0,40,True,2023-11-25 07:47:10.000,5.10.0,74.0,pymc3,conda-forge/pymc3,,,,2661.0,2412.0,https://pypi.org/project/pymc3,2022-03-15 10:10:19.000,249.0,512540.0,518896.0,https://anaconda.org/conda-forge/pymc3,2023-06-16 13:23:30.938,545184.0,,,,,1.0,1935.0,,,,,,,,,,,,,,,,,,, +53,dask.distributed,dask/distributed,distributed-ml,,https://github.com/dask/distributed,https://github.com/dask/distributed,BSD-3-Clause,2015-09-13 18:42:29.000,2023-12-07 08:10:49.000000,2023-12-05 15:56:58,5615.0,126.0,706.0,56.0,4839.0,1461.0,2277.0,1501.0,A distributed task scheduler for Dask.,318.0,40,True,2023-12-01 23:25:48.000,2023.12.0,217.0,distributed,conda-forge/distributed,,,,33032.0,31721.0,https://pypi.org/project/distributed,2023-12-01 23:25:48.000,1311.0,3811969.0,4107668.0,https://anaconda.org/conda-forge/distributed,2023-12-02 00:25:08.957,12715080.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +54,MMDetection,open-mmlab/mmdetection,image,,https://github.com/open-mmlab/mmdetection,https://github.com/open-mmlab/mmdetection,Apache-2.0,2018-08-22 07:06:06.000,2023-12-07 01:25:20.000000,2023-10-12 07:43:04,2677.0,30.0,9018.0,376.0,3083.0,1252.0,6585.0,26313.0,OpenMMLab Detection Toolbox and Benchmark.,466.0,39,True,2023-10-12 07:46:52.000,3.2.0,52.0,mmdet,,,,['pytorch'],1992.0,1960.0,https://pypi.org/project/mmdet,2023-10-12 07:46:52.000,32.0,175542.0,175542.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +55,flair,flairNLP/flair,nlp,,https://github.com/flairNLP/flair,https://github.com/flairNLP/flair,MIT,2018-06-11 11:04:18.000,2023-12-05 04:45:01.000000,2023-12-05 04:41:50,5770.0,148.0,2047.0,205.0,1163.0,54.0,2172.0,13275.0,A very simple framework for state-of-the-art Natural Language Processing (NLP).,250.0,39,True,2023-10-28 12:19:55.000,0.13.0,31.0,flair,conda-forge/python-flair,,,['pytorch'],2999.0,2906.0,https://pypi.org/project/flair,2023-10-28 11:56:13.000,93.0,159075.0,159608.0,https://anaconda.org/conda-forge/python-flair,2023-07-23 11:04:16.024,21883.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +56,dgl,dmlc/dgl,graph,,https://github.com/dmlc/dgl,https://github.com/dmlc/dgl,Apache-2.0,2018-04-20 14:49:09.000,2023-12-07 09:17:31.000000,2023-12-07 09:17:31,3675.0,282.0,2884.0,170.0,4233.0,417.0,2128.0,12521.0,"Python package built to ease deep learning on graph, on top of existing DL frameworks.",282.0,39,True,2023-08-15 07:31:40.000,1.1.2,448.0,dgl,,,,,251.0,168.0,https://pypi.org/project/dgl,2023-08-30 08:45:26.000,83.0,72406.0,72406.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +57,dlib,davisking/dlib,ml-frameworks,,https://github.com/davisking/dlib,https://github.com/davisking/dlib,BSL-1.0,2014-01-29 00:45:33.000,2023-12-06 23:12:59.000000,2023-11-13 01:10:47,8232.0,13.0,3295.0,480.0,680.0,44.0,2120.0,12441.0,A toolkit for making real world machine learning and data analysis applications in C++.,191.0,39,False,2023-06-03 20:05:00.841,19.24.2,36.0,dlib,conda-forge/dlib,,,,24385.0,23591.0,https://pypi.org/project/dlib,2023-06-03 20:05:00.841,794.0,151285.0,166695.0,https://anaconda.org/conda-forge/dlib,2023-10-17 10:36:07.545,636809.0,,,,,2.0,25345.0,,,,,,,,,,,,,,,,,,, +58,yfinance,ranaroussi/yfinance,financial-data,,https://github.com/ranaroussi/yfinance,https://github.com/ranaroussi/yfinance,Apache-2.0,2017-05-21 10:16:15.000,2023-12-07 09:40:56.000000,2023-12-06 19:49:23,1091.0,49.0,2058.0,232.0,484.0,177.0,1027.0,10774.0,Download market data from Yahoo! Finances API.,95.0,39,True,2023-12-06 19:50:59.000,0.2.33,105.0,yfinance,ranaroussi/yfinance,,,,30626.0,30330.0,https://pypi.org/project/yfinance,2023-12-06 19:50:59.000,296.0,1100478.0,1103324.0,https://anaconda.org/ranaroussi/yfinance,2023-06-16 19:26:44.442,82552.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +59,Optuna,optuna/optuna,hyperopt,,https://github.com/optuna/optuna,https://github.com/optuna/optuna,,2018-02-21 06:12:56.000,2023-12-06 05:07:55.000000,2023-12-06 04:53:14,16827.0,397.0,897.0,121.0,3341.0,115.0,1466.0,8994.0,A hyperparameter optimization framework.,257.0,39,False,2023-10-17 07:05:49.000,3.4.0,61.0,optuna,conda-forge/optuna,,,,11519.0,11068.0,https://pypi.org/project/optuna,2023-10-17 07:05:49.000,451.0,2230576.0,2244368.0,https://anaconda.org/conda-forge/optuna,2023-10-20 10:10:01.680,579297.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +60,sktime,alan-turing-institute/sktime,time-series-data,,https://github.com/sktime/sktime,https://github.com/sktime/sktime,BSD-3-Clause,2018-11-06 15:08:24.000,2023-12-06 20:43:26.000000,2023-11-29 04:53:52,4074.0,211.0,1170.0,104.0,3203.0,725.0,1308.0,7069.0,A unified framework for machine learning with time series.,305.0,39,True,2023-11-06 00:08:12.000,0.24.1,57.0,sktime,conda-forge/sktime-all-extras,,,['sklearn'],2014.0,1957.0,https://pypi.org/project/sktime,2023-11-06 00:08:12.000,57.0,764567.0,796391.0,https://anaconda.org/conda-forge/sktime-all-extras,2023-11-06 08:49:23.870,922873.0,,,,,1.0,84.0,,,sktime/sktime,,,,,,,,,,,,,,,, +61,folium,python-visualization/folium,geospatial-data,,https://github.com/python-visualization/folium,https://github.com/python-visualization/folium,MIT,2013-05-09 04:21:35.000,2023-12-07 10:37:58.000000,2023-12-07 07:22:09,1768.0,26.0,2239.0,167.0,792.0,67.0,982.0,6493.0,Python Data. Leaflet.js Maps.,157.0,39,True,2023-12-04 11:12:36.000,0.15.1,30.0,folium,conda-forge/folium,,,,32531.0,31718.0,https://pypi.org/project/folium,2023-12-04 11:12:36.000,813.0,850804.0,921698.0,https://anaconda.org/conda-forge/folium,2023-12-04 11:42:27.248,2481308.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +62,accelerate,huggingface/accelerate,pytorch-utils,,https://github.com/huggingface/accelerate,https://github.com/huggingface/accelerate,Apache-2.0,2020-10-30 13:27:12.000,2023-12-07 15:01:18.000000,2023-12-06 13:45:31,1191.0,116.0,672.0,96.0,1117.0,114.0,997.0,6122.0,"A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision.",199.0,39,True,2023-12-01 15:24:43.000,0.25.0,38.0,accelerate,conda-forge/accelerate,,,['pytorch'],20386.0,19936.0,https://pypi.org/project/accelerate,2023-12-01 14:33:27.000,450.0,7805407.0,7808868.0,https://anaconda.org/conda-forge/accelerate,2023-12-01 17:19:39.752,89990.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +63,GeoPandas,geopandas/geopandas,geospatial-data,,https://github.com/geopandas/geopandas,https://github.com/geopandas/geopandas,BSD-3-Clause,2013-06-27 17:03:47.000,2023-12-06 10:37:29.000000,2023-12-05 12:46:32,1835.0,42.0,897.0,106.0,1489.0,456.0,1159.0,3962.0,Python tools for geographic data.,213.0,39,True,2023-11-11 09:30:40.000,0.14.1,50.0,geopandas,conda-forge/geopandas,,,['pandas'],30661.0,28880.0,https://pypi.org/project/geopandas,2023-11-11 09:30:36.000,1781.0,6307555.0,6386637.0,https://anaconda.org/conda-forge/geopandas,2023-11-11 14:20:49.573,3320407.0,,,,,1.0,2251.0,,,,,,,,,,,,,,,,,,, +64,PaddleOCR,PaddlePaddle/PaddleOCR,ocr,,https://github.com/PaddlePaddle/PaddleOCR,https://github.com/PaddlePaddle/PaddleOCR,Apache-2.0,2020-05-08 10:38:16.000,2023-12-07 07:21:35.000000,2023-12-06 06:44:07,6120.0,24.0,6780.0,417.0,2786.0,1046.0,7251.0,35028.0,"Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages..",184.0,38,True,2023-10-18 12:32:48.000,2.7.1,40.0,paddleocr,,,,['paddle'],2067.0,2037.0,https://pypi.org/project/paddleocr,2023-09-15 08:35:48.000,30.0,101684.0,101684.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +65,Faiss,facebookresearch/faiss,nn-search,,https://github.com/facebookresearch/faiss,https://github.com/facebookresearch/faiss,MIT,2017-02-07 16:07:05.000,2023-12-07 10:59:16.000000,2023-12-05 18:00:38,924.0,43.0,3121.0,468.0,834.0,378.0,1857.0,25715.0,A library for efficient similarity search and clustering of dense vectors.,145.0,38,True,2023-12-04 09:02:10.000,2.3.4,89.0,pymilvus,conda-forge/faiss,,,,3368.0,3292.0,https://pypi.org/project/pymilvus,2023-12-04 09:02:10.000,76.0,519225.0,542190.0,https://anaconda.org/conda-forge/faiss,2023-06-16 19:19:09.201,987505.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +66,Coqui TTS,coqui-ai/TTS,audio,,https://github.com/coqui-ai/TTS,https://github.com/coqui-ai/TTS,MPL-2.0,2020-05-20 15:45:28.000,2023-12-07 13:07:31.000000,2023-12-07 13:07:28,4628.0,223.0,2590.0,234.0,679.0,53.0,821.0,23692.0,"- a deep learning toolkit for Text-to-Speech, battle-tested in research and production.",161.0,38,True,2023-12-01 23:12:07.000,0.21.3,97.0,tts,conda-forge/tts,,,"['pytorch', 'tensorflow']",682.0,663.0,https://pypi.org/project/tts,2023-12-01 23:12:07.000,19.0,102165.0,154535.0,https://anaconda.org/conda-forge/tts,2023-06-16 19:27:41.222,10020.0,,,,,1.0,1715519.0,2.0,,,,,,,,,,,,,,,,,, +67,PyFlink,apache/flink,ml-frameworks,,https://github.com/apache/flink,https://github.com/apache/flink,Apache-2.0,2014-06-07 07:00:10.000,2023-12-07 13:50:18.000000,2023-12-07 12:58:50,34422.0,423.0,12914.0,945.0,23874.0,1082.0,,22377.0,Apache Flink Python API.,1805.0,38,True,2023-11-28 07:09:06.000,1.16.3,45.0,apache-flink,,,,,45.0,21.0,https://pypi.org/project/apache-flink,2023-11-28 07:09:06.000,24.0,75088.0,75088.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +68,MXNet,apache/incubator-mxnet,ml-frameworks,,https://github.com/apache/mxnet,https://github.com/apache/mxnet,Apache-2.0,2015-04-30 16:21:15.000,2023-10-25 21:28:33.000000,2023-01-26 21:28:45,11896.0,,6891.0,1075.0,11124.0,1805.0,7763.0,20651.0,"Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler;..",983.0,38,True,2022-10-24 07:38:03.000,1.9.1,983.0,mxnet,mxnet,,,['mxnet'],7195.0,6899.0,https://pypi.org/project/mxnet,2022-05-17 21:11:13.000,291.0,322378.0,322814.0,https://anaconda.org/anaconda/mxnet,2023-06-16 13:24:22.589,10488.0,,,,,2.0,26492.0,,,apache/mxnet,,,,,,,,,5.0,,,,,,, +69,PyTorch Geometric,pyg-team/pytorch_geometric,graph,,https://github.com/pyg-team/pytorch_geometric,https://github.com/pyg-team/pytorch_geometric,MIT,2017-10-06 16:03:03.000,2023-12-07 14:07:20.000000,2023-12-07 14:07:18,7204.0,268.0,3435.0,253.0,2630.0,890.0,2511.0,19105.0,Graph Neural Network Library for PyTorch.,470.0,38,True,2023-10-12 08:28:59.000,2.4.0,40.0,torch-geometric,conda-forge/pytorch_geometric,,,['pytorch'],132.0,,https://pypi.org/project/torch-geometric,2023-10-12 08:27:10.000,132.0,245500.0,246334.0,https://anaconda.org/conda-forge/pytorch_geometric,2023-11-08 13:56:02.983,34222.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +70,Theano,Theano/Theano,ml-frameworks,,https://github.com/Theano/Theano,https://github.com/Theano/Theano,BSD-3-Clause,2011-08-10 03:48:06.000,2023-07-01 12:19:02.000000,2022-12-20 16:49:55,28132.0,,2511.0,544.0,4118.0,685.0,2088.0,9813.0,"Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving..",386.0,38,True,2020-07-27 16:13:54.000,1.0.5,45.0,theano,conda-forge/theano,,,,17359.0,14521.0,https://pypi.org/project/theano,2020-07-27 16:13:54.000,2838.0,316842.0,343641.0,https://anaconda.org/conda-forge/theano,2023-06-16 13:23:49.668,2385130.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +71,triton,openai/triton,model-serialisation,,https://github.com/openai/triton,https://github.com/openai/triton,MIT,2014-08-30 17:07:16.000,2023-12-07 15:04:34.000000,2023-12-06 19:34:45,1530.0,273.0,936.0,166.0,1732.0,375.0,551.0,9052.0,Development repository for the Triton language and compiler.,193.0,38,True,2023-09-01 07:26:13.000,2.1.0,191.0,triton,,,,,94.0,21.0,https://pypi.org/project/triton,2023-09-01 07:26:13.000,73.0,7046120.0,7046120.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +72,Kornia,kornia/kornia,image,,https://github.com/kornia/kornia,https://github.com/kornia/kornia,Apache-2.0,2018-08-22 10:31:37.000,2023-12-05 19:59:26.000000,2023-12-05 09:06:24,2613.0,84.0,882.0,126.0,1705.0,252.0,600.0,8886.0,Geometric Computer Vision Library for AI.,244.0,38,True,2023-08-02 10:18:58.000,0.7.0,37.0,kornia,conda-forge/kornia,,,['pytorch'],7533.0,7410.0,https://pypi.org/project/kornia,2023-08-02 10:18:58.000,123.0,2051133.0,2054181.0,https://anaconda.org/conda-forge/kornia,2023-08-04 20:43:55.693,109233.0,,,,,1.0,875.0,,,,,,,,,,,,,,,,,,, +73,Flax,google/flax,ml-frameworks,,https://github.com/google/flax,https://github.com/google/flax,Apache-2.0,2020-01-10 09:48:37.000,2023-12-07 07:22:01.000000,2023-12-06 13:36:00,4022.0,243.0,552.0,83.0,2085.0,165.0,668.0,4982.0,Flax is a neural network library for JAX that is designed for flexibility.,212.0,38,True,2023-10-28 02:08:03.000,0.7.5,40.0,flax,conda-forge/flax,,,['jax'],5419.0,5230.0,https://pypi.org/project/flax,2023-10-28 02:08:03.000,189.0,2223458.0,2224604.0,https://anaconda.org/conda-forge/flax,2023-11-09 02:38:30.298,37792.0,,,,,2.0,50.0,,,,,,,,,,,,,,,,,,, +74,TensorFlow Datasets,tensorflow/datasets,tensorflow-utils,,https://github.com/tensorflow/datasets,https://github.com/tensorflow/datasets,Apache-2.0,2018-09-10 21:27:22.000,2023-12-07 14:17:40.000000,2023-12-06 10:37:23,6102.0,105.0,1493.0,111.0,4063.0,647.0,701.0,4056.0,"TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...",300.0,38,True,2023-09-08 09:07:53.000,4.9.3,36.0,tensorflow-datasets,conda-forge/tensorflow-datasets,,,['tensorflow'],15606.0,15392.0,https://pypi.org/project/tensorflow-datasets,2023-09-08 09:07:47.000,214.0,1594022.0,1594839.0,https://anaconda.org/conda-forge/tensorflow-datasets,2023-06-16 19:25:46.849,25349.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +75,Shapely,shapely/shapely,geospatial-data,,https://github.com/shapely/shapely,https://github.com/shapely/shapely,BSD-3-Clause,2011-12-31 19:43:11.000,2023-12-04 22:59:32.000000,2023-12-04 19:36:36,2228.0,22.0,543.0,88.0,770.0,229.0,894.0,3510.0,Manipulation and analysis of geometric objects.,149.0,38,True,2023-10-12 20:37:19.000,2.0.2,121.0,shapely,conda-forge/shapely,,,,58679.0,57461.0,https://pypi.org/project/shapely,2023-10-12 20:37:19.000,1218.0,16444748.0,16662712.0,https://anaconda.org/conda-forge/shapely,2023-11-23 18:52:59.047,8714332.0,,,,,2.0,2764.0,,,,,,,,,,,,,,,,,,, +76,MNE,mne-tools/mne-python,medical-data,,https://github.com/mne-tools/mne-python,https://github.com/mne-tools/mne-python,BSD-3-Clause,2011-01-28 03:31:13.000,2023-12-07 13:13:48.000000,2023-12-06 17:53:49,17760.0,183.0,1294.0,84.0,7613.0,471.0,4203.0,2413.0,MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python.,359.0,38,True,2023-11-20 20:29:52.000,1.6.0,76.0,mne,conda-forge/mne,,,,3542.0,3257.0,https://pypi.org/project/mne,2023-11-20 20:29:52.000,285.0,90795.0,98722.0,https://anaconda.org/conda-forge/mne,2023-11-20 22:22:01.653,340872.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +77,SageMaker SDK,aws/sagemaker-python-sdk,ml-experiments,,https://github.com/aws/sagemaker-python-sdk,https://github.com/aws/sagemaker-python-sdk,Apache-2.0,2017-11-14 01:03:33.000,2023-12-07 14:00:42.000000,2023-12-07 07:32:58,3401.0,153.0,1090.0,135.0,2753.0,482.0,928.0,1970.0,A library for training and deploying machine learning models on Amazon SageMaker.,410.0,38,True,2023-11-30 02:10:44.000,2.199.0,554.0,sagemaker,conda-forge/sagemaker-python-sdk,,,"['mxnet', 'tensorflow']",3413.0,3323.0,https://pypi.org/project/sagemaker,2023-11-30 02:10:44.000,90.0,36349770.0,36367188.0,https://anaconda.org/conda-forge/sagemaker-python-sdk,2023-11-27 10:45:24.319,696734.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +78,imageio,imageio/imageio,image,,https://github.com/imageio/imageio,https://github.com/imageio/imageio,BSD-2-Clause,2013-05-04 22:56:45.000,2023-12-05 07:46:33.000000,2023-12-05 07:46:33,1518.0,16.0,269.0,32.0,475.0,92.0,486.0,1346.0,Python library for reading and writing image data.,109.0,38,True,2023-11-20 02:26:19.000,2.33.0,88.0,imageio,conda-forge/imageio,,,,112345.0,109275.0,https://pypi.org/project/imageio,2023-11-20 02:26:14.000,3070.0,17213780.0,17358371.0,https://anaconda.org/conda-forge/imageio,2023-10-09 12:27:51.214,5927666.0,,,,,1.0,914.0,,,,,,,,,,,,,,,,,,, +79,pyecharts,pyecharts/pyecharts,data-viz,,https://github.com/pyecharts/pyecharts,https://github.com/pyecharts/pyecharts,MIT,2017-06-22 02:50:25.000,2023-11-27 07:34:13.000000,2023-08-21 03:59:26,1627.0,,2814.0,379.0,456.0,3.0,1803.0,14066.0,Python Echarts Plotting Library.,39.0,37,True,2023-08-21 08:24:32.000,2.0.4,72.0,pyecharts,,,https://github.com/pyecharts/pyecharts/blob/master/README.en.md,['jupyter'],3895.0,3646.0,https://pypi.org/project/pyecharts,2023-08-21 03:40:32.000,249.0,150937.0,150937.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +80,sentence-transformers,UKPLab/sentence-transformers,nlp,,https://github.com/UKPLab/sentence-transformers,https://github.com/UKPLab/sentence-transformers,Apache-2.0,2019-07-24 10:53:51.000,2023-12-07 14:06:04.000000,2023-12-07 14:06:04,1247.0,40.0,2124.0,127.0,282.0,1029.0,805.0,12561.0,Multilingual Sentence & Image Embeddings with BERT.,122.0,37,True,2022-06-26 19:52:06.000,2.2.2,43.0,sentence-transformers,conda-forge/sentence-transformers,,,['pytorch'],20419.0,19826.0,https://pypi.org/project/sentence-transformers,2022-06-26 19:50:11.000,593.0,2934570.0,2939390.0,https://anaconda.org/conda-forge/sentence-transformers,2023-06-16 19:21:44.846,187998.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +81,pandas-profiling,ydataai/pandas-profiling,data-viz,,https://github.com/ydataai/ydata-profiling,https://github.com/ydataai/ydata-profiling,MIT,2016-01-09 23:47:55.000,2023-12-07 10:11:08.000000,2023-12-07 10:08:46,1365.0,35.0,1587.0,151.0,738.0,195.0,551.0,11531.0,1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.,117.0,37,True,2023-12-05 15:38:30.000,4.6.3,54.0,pandas-profiling,conda-forge/pandas-profiling,,,"['jupyter', 'pandas']",2151.0,1955.0,https://pypi.org/project/pandas-profiling,2023-02-03 17:59:40.571,196.0,667325.0,672010.0,https://anaconda.org/conda-forge/pandas-profiling,2023-06-16 13:22:30.453,412316.0,,,,,2.0,14.0,,,ydataai/ydata-profiling,,,,,,,,,,,,,,,, +82,MoviePy,Zulko/moviepy,image,,https://github.com/Zulko/moviepy,https://github.com/Zulko/moviepy,MIT,2013-08-12 09:39:28.000,2023-12-06 16:53:51.000000,2023-07-11 16:23:35,1095.0,,1447.0,250.0,653.0,383.0,1021.0,11171.0,Video editing with Python.,160.0,37,True,2020-05-07 16:29:35.000,1.0.3,85.0,moviepy,conda-forge/moviepy,,,,32527.0,31563.0,https://pypi.org/project/moviepy,2021-12-15 14:41:26.454,964.0,705607.0,708446.0,https://anaconda.org/conda-forge/moviepy,2023-06-16 13:23:34.876,218648.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +83,PyCaret,pycaret/pycaret,ml-experiments,,https://github.com/pycaret/pycaret,https://github.com/pycaret/pycaret,MIT,2019-11-23 18:40:48.000,2023-12-06 19:55:56.000000,2023-11-30 17:14:13,5054.0,117.0,1687.0,128.0,967.0,309.0,1896.0,7995.0,"An open-source, low-code machine learning library in Python.",129.0,37,True,2023-11-12 21:46:01.000,3.2.0,95.0,pycaret,conda-forge/pycaret,,,,4832.0,4816.0,https://pypi.org/project/pycaret,2023-11-12 21:44:47.000,16.0,299023.0,300065.0,https://anaconda.org/conda-forge/pycaret,2023-11-16 02:21:22.926,41055.0,,,,,2.0,675.0,,,,,,,,,,,,,,,,,,, +84,Tokenizers,huggingface/tokenizers,nlp,,https://github.com/huggingface/tokenizers,https://github.com/huggingface/tokenizers,Apache-2.0,2019-11-01 17:52:20.000,2023-12-05 17:00:21.000000,2023-12-05 13:11:37,1745.0,13.0,668.0,120.0,544.0,298.0,582.0,7894.0,Fast State-of-the-Art Tokenizers optimized for Research and Production.,82.0,37,True,2023-11-14 19:06:30.000,0.15.0,85.0,tokenizers,conda-forge/tokenizers,,,,51934.0,51572.0,https://pypi.org/project/tokenizers,2023-11-14 19:03:50.000,362.0,15657263.0,15691057.0,https://anaconda.org/conda-forge/tokenizers,2023-11-16 07:53:27.784,1385570.0,,,,,1.0,33.0,,,,,,,,,,,,,,,,,,, +85,espnet,espnet/espnet,audio,,https://github.com/espnet/espnet,https://github.com/espnet/espnet,Apache-2.0,2017-12-13 00:45:11.000,2023-12-07 12:30:52.000000,2023-12-05 17:22:46,20133.0,618.0,2010.0,179.0,3169.0,231.0,2040.0,7426.0,End-to-End Speech Processing Toolkit.,398.0,37,True,2023-10-25 11:52:03.000,.202310,51.0,espnet,,,,,274.0,269.0,https://pypi.org/project/espnet,2023-10-25 11:52:34.000,5.0,19443.0,19444.0,,,,,,,,1.0,79.0,,,,,,,,,,,,,,,,,,, +86,speechbrain,speechbrain/speechbrain,audio,,https://github.com/speechbrain/speechbrain,https://github.com/speechbrain/speechbrain,Apache-2.0,2020-04-28 17:48:45.000,2023-12-06 21:27:16.000000,2023-11-30 20:15:29,9600.0,169.0,1154.0,125.0,1053.0,168.0,871.0,6920.0,A PyTorch-based Speech Toolkit.,224.0,37,True,2023-11-22 02:29:10.000,0.5.16,15.0,speechbrain,,,,['pytorch'],1279.0,1255.0,https://pypi.org/project/speechbrain,2023-11-22 02:29:10.000,24.0,173118.0,173118.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +87,tensorflow-probability,tensorflow/probability,probabilistics,,https://github.com/tensorflow/probability,https://github.com/tensorflow/probability,Apache-2.0,2017-10-23 23:50:54.000,2023-12-06 22:21:03.000000,2023-12-06 22:21:00,12026.0,55.0,1086.0,167.0,459.0,650.0,737.0,4005.0,Probabilistic reasoning and statistical analysis in TensorFlow.,486.0,37,True,2023-11-20 23:32:05.000,0.23.0,51.0,tensorflow-probability,conda-forge/tensorflow-probability,,,['tensorflow'],442.0,,https://pypi.org/project/tensorflow-probability,2023-11-20 23:21:06.000,442.0,1426944.0,1430409.0,https://anaconda.org/conda-forge/tensorflow-probability,2023-11-15 10:36:45.409,117842.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +88,Rasterio,rasterio/rasterio,geospatial-data,,https://github.com/rasterio/rasterio,https://github.com/rasterio/rasterio,BSD-3-Clause,2013-11-04 16:36:27.000,2023-12-07 00:11:30.000000,2023-11-28 23:48:15,3793.0,19.0,518.0,147.0,1112.0,161.0,1595.0,2051.0,Rasterio reads and writes geospatial raster datasets.,150.0,37,True,2023-10-19 14:09:18.000,1.3.9,153.0,rasterio,conda-forge/rasterio,,,,10690.0,9655.0,https://pypi.org/project/rasterio,2023-10-19 14:04:39.000,1035.0,2092015.0,2169875.0,https://anaconda.org/conda-forge/rasterio,2023-10-19 11:41:01.295,2724837.0,,,,,2.0,853.0,,,,,,,,,,,,,,,,,,, +89,jieba,fxsjy/jieba,chinese-nlp,,https://github.com/fxsjy/jieba,https://github.com/fxsjy/jieba,MIT,2012-09-29 07:52:01.000,2023-06-16 13:21:35.778000,2020-02-15 08:33:35,523.0,,6699.0,1289.0,164.0,662.0,222.0,31644.0,Chinese Words Segmentation Utilities.,49.0,36,False,2020-01-20 14:27:23.000,0.42.1,32.0,jieba,conda-forge/jieba,,,,27018.0,25341.0,https://pypi.org/project/jieba,2020-01-20 14:27:23.000,1677.0,759467.0,761316.0,https://anaconda.org/conda-forge/jieba,2023-06-16 13:21:35.778,147941.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +90,fairseq,facebookresearch/fairseq,nlp,,https://github.com/facebookresearch/fairseq,https://github.com/facebookresearch/fairseq,MIT,2017-08-29 16:26:12.000,2023-12-07 08:28:22.000000,2023-10-10 17:36:53,2318.0,4.0,6053.0,420.0,1318.0,1100.0,3027.0,28185.0,Facebook AI Research Sequence-to-Sequence Toolkit written in Python.,420.0,36,True,2022-06-27 19:32:58.000,0.12.2,16.0,fairseq,conda-forge/fairseq,,,['pytorch'],2447.0,2378.0,https://pypi.org/project/fairseq,2022-06-27 19:32:38.000,69.0,372265.0,373659.0,https://anaconda.org/conda-forge/fairseq,2023-12-03 20:00:06.516,57000.0,,,,,1.0,325.0,,,,,,,,,,,,,,,,,,, +91,Prophet,facebook/prophet,time-series-data,,https://github.com/facebook/prophet,https://github.com/facebook/prophet,MIT,2016-11-16 01:50:08.000,2023-11-20 16:39:17.000000,2023-10-18 07:33:05,791.0,15.0,4457.0,425.0,436.0,363.0,1722.0,17244.0,Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear..,173.0,36,True,2023-10-10 12:57:04.000,1.1.5,16.0,fbprophet,conda-forge/prophet,,,,149.0,21.0,https://pypi.org/project/fbprophet,2020-09-05 16:12:50.000,128.0,862931.0,898015.0,https://anaconda.org/conda-forge/prophet,2023-10-20 01:36:39.935,1121858.0,,,,,1.0,2158.0,,,,,,,,,,,,,,,,,,, +92,glfw,glfw/glfw,image,,https://github.com/glfw/glfw,https://github.com/glfw/glfw,Zlib,2013-04-18 15:24:53.000,2023-12-06 22:49:14.000000,2023-12-06 17:34:22,4671.0,33.0,4634.0,387.0,662.0,628.0,1262.0,11476.0,"A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input.",193.0,36,False,2023-11-17 07:43:54.000,2.6.3,55.0,glfw,conda-forge/glfw,,,,212.0,22.0,https://pypi.org/project/glfw,2023-11-17 07:43:54.000,190.0,196266.0,234627.0,https://anaconda.org/conda-forge/glfw,2023-11-04 14:49:02.806,169674.0,,,,,2.0,3504041.0,,,,,,,,,,,,,,,,,,, +93,carla,carla-simulator/carla,others,,https://github.com/carla-simulator/carla,https://github.com/carla-simulator/carla,MIT,2017-10-24 09:06:23.000,2023-12-07 13:39:19.000000,2023-11-10 11:25:48,6020.0,39.0,3118.0,238.0,1412.0,943.0,3807.0,9960.0,Open-source simulator for autonomous driving research.,170.0,36,True,2023-11-14 22:51:02.000,0.9.15,26.0,carla,,,,,603.0,597.0,https://pypi.org/project/carla,2023-11-14 22:51:02.000,6.0,16850.0,16850.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +94,PySyft,OpenMined/PySyft,privacy-ml,,https://github.com/OpenMined/PySyft,https://github.com/OpenMined/PySyft,Apache-2.0,2017-07-18 20:41:16.000,2023-12-07 14:47:38.000000,2023-12-07 14:47:36,25551.0,1416.0,1952.0,201.0,4882.0,158.0,3308.0,9032.0,Perform data science on data that remains in someone elses server.,502.0,36,True,2023-12-07 14:07:06.000,0.8.3,227.0,syft,,,,['pytorch'],5.0,,https://pypi.org/project/syft,2023-12-07 14:06:55.000,5.0,5793.0,5816.0,,,,,,,,1.0,1097.0,,,,,,,,,,,,,,,,,,, +95,NeMo,NVIDIA/NeMo,nlp,,https://github.com/NVIDIA/NeMo,https://github.com/NVIDIA/NeMo,Apache-2.0,2019-08-05 20:16:42.000,2023-12-07 08:21:11.000000,2023-12-07 08:21:09,5964.0,194.0,1861.0,176.0,5550.0,86.0,1818.0,8648.0,NeMo: a toolkit for conversational AI.,260.0,36,True,2023-10-25 23:27:38.000,1.21.0,70.0,nemo-toolkit,,,,['pytorch'],31.0,21.0,https://pypi.org/project/nemo-toolkit,2023-10-25 21:35:40.000,10.0,36770.0,38803.0,,,,,,,,1.0,103720.0,,,,,,,,,,,,,,,,,,, +96,H2O-3,h2oai/h2o-3,distributed-ml,,https://github.com/h2oai/h2o-3,https://github.com/h2oai/h2o-3,Apache-2.0,2014-03-03 16:08:07.000,2023-12-07 08:57:19.000000,2023-12-07 05:32:51,32261.0,195.0,2007.0,388.0,6711.0,2720.0,6503.0,6570.0,"H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM)..",247.0,36,True,,,149.0,h2o,,,,,102.0,21.0,https://pypi.org/project/h2o,2023-11-08 12:27:28.000,81.0,408128.0,408128.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +97,MONAI,Project-MONAI/MONAI,medical-data,,https://github.com/Project-MONAI/MONAI,https://github.com/Project-MONAI/MONAI,Apache-2.0,2019-10-11 16:41:38.000,2023-12-07 11:48:40.000000,2023-12-05 08:46:24,2920.0,101.0,908.0,94.0,3161.0,339.0,2479.0,4888.0,AI Toolkit for Healthcare Imaging.,176.0,36,True,2023-10-12 17:37:33.000,1.3.0,77.0,monai,conda-forge/monai,,,['pytorch'],1612.0,1564.0,https://pypi.org/project/monai,2023-10-12 17:09:21.000,48.0,157302.0,158133.0,https://anaconda.org/conda-forge/monai,2023-10-12 17:35:33.024,19951.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +98,DeepChem,deepchem/deepchem,others,,https://github.com/deepchem/deepchem,https://github.com/deepchem/deepchem,MIT,2015-09-24 23:20:28.000,2023-12-07 10:26:44.000000,2023-12-07 08:29:33,9740.0,436.0,1541.0,146.0,2055.0,523.0,1211.0,4752.0,"Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology.",230.0,36,True,2022-12-01 14:00:47.111,2.7.1,754.0,deepchem,conda-forge/deepchem,,,['tensorflow'],297.0,286.0,https://pypi.org/project/deepchem,2023-12-07 08:33:31.000,11.0,18840.0,21107.0,https://anaconda.org/conda-forge/deepchem,2023-06-16 19:18:02.015,104302.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +99,BigDL,intel-analytics/BigDL,distributed-ml,,https://github.com/intel-analytics/BigDL,https://github.com/intel-analytics/BigDL,Apache-2.0,2016-08-29 07:59:50.000,2023-12-07 13:45:09.000000,2023-12-07 11:02:41,20863.0,470.0,1163.0,239.0,7627.0,908.0,1319.0,4578.0,Accelerate LLM with low-bit (FP4 / INT4 / FP8 / INT8) optimizations using bigdl-llm.,194.0,36,True,2023-11-13 02:02:20.000,2.4.0,773.0,bigdl,,,,,51.0,46.0,https://pypi.org/project/bigdl,2023-12-07 13:45:09.000,1.0,5681.0,5681.0,,,,,,,,2.0,57.0,,,,,,,,,,,,,com.intel.analytics.bigdl:bigdl-SPARK_2.4,https://search.maven.org/artifact/com.intel.analytics.bigdl/bigdl-SPARK_2.4,2021-04-20 01:33:14,4.0,,, +100,spark-nlp,JohnSnowLabs/spark-nlp,nlp,,https://github.com/JohnSnowLabs/spark-nlp,https://github.com/JohnSnowLabs/spark-nlp,Apache-2.0,2017-09-24 19:36:44.000,2023-12-06 20:13:11.000000,2023-11-14 14:50:04,8376.0,52.0,680.0,99.0,13073.0,49.0,795.0,3521.0,State of the Art Natural Language Processing.,108.0,36,True,2023-10-26 20:10:39.000,5.1.4,133.0,spark-nlp,,,,['spark'],396.0,366.0,https://pypi.org/project/spark-nlp,2023-10-26 17:51:05.000,30.0,3833834.0,3833834.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +101,PyQtGraph,pyqtgraph/pyqtgraph,data-viz,,https://github.com/pyqtgraph/pyqtgraph,https://github.com/pyqtgraph/pyqtgraph,MIT,2013-09-12 07:18:21.000,2023-12-07 13:50:27.000000,2023-11-18 21:06:29,3845.0,57.0,1021.0,155.0,1556.0,357.0,862.0,3508.0,Fast data visualization and GUI tools for scientific / engineering applications.,265.0,36,True,2023-04-14 21:33:03.621,0.13.3,21.0,pyqtgraph,conda-forge/pyqtgraph,,,,9343.0,8387.0,https://pypi.org/project/pyqtgraph,2023-04-14 21:33:03.621,956.0,174061.0,179988.0,https://anaconda.org/conda-forge/pyqtgraph,2023-06-16 13:19:32.302,491960.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +102,PyVista,pyvista/pyvista,data-viz,,https://github.com/pyvista/pyvista,https://github.com/pyvista/pyvista,MIT,2017-05-31 18:01:42.000,2023-12-07 09:53:21.000000,2023-12-07 05:16:41,3960.0,198.0,391.0,31.0,2761.0,422.0,997.0,2076.0,3D plotting and mesh analysis through a streamlined interface for the Visualization Toolkit (VTK).,152.0,36,True,2023-12-07 10:14:17.000,0.43.0,85.0,pyvista,conda-forge/pyvista,,,['jupyter'],2672.0,2434.0,https://pypi.org/project/pyvista,2023-12-07 05:45:00.000,238.0,219078.0,229256.0,https://anaconda.org/conda-forge/pyvista,2023-12-07 07:23:24.105,427056.0,,,,,2.0,788.0,,,,,,,,,,,,,,,,,,, +103,metrics,Lightning-AI/metrics,distributed-ml,,https://github.com/Lightning-AI/torchmetrics,https://github.com/Lightning-AI/torchmetrics,Apache-2.0,2020-12-22 20:02:42.000,2023-12-06 01:46:39.000000,2023-12-04 16:50:58,1587.0,126.0,337.0,27.0,1319.0,51.0,685.0,1728.0,"Torchmetrics - Machine learning metrics for distributed, scalable PyTorch applications.",219.0,36,True,2023-12-01 17:06:32.000,1.2.1,40.0,metrics,conda-forge/torchmetrics,,,['pytorch'],17978.0,17965.0,https://pypi.org/project/metrics,2018-04-28 10:58:56.000,13.0,5730.0,41617.0,https://anaconda.org/conda-forge/torchmetrics,2023-12-01 20:39:28.126,1180010.0,,,,,2.0,4311.0,,,Lightning-AI/torchmetrics,,,,,,,,,,,,,,,, +104,Graphviz,xflr6/graphviz,data-viz,,https://github.com/xflr6/graphviz,https://github.com/xflr6/graphviz,MIT,2014-01-12 17:49:29.000,2023-12-06 23:46:08.496000,2023-12-04 09:05:52,1211.0,12.0,203.0,33.0,46.0,9.0,157.0,1497.0,Simple Python interface for Graphviz.,22.0,36,True,2022-07-23 11:35:06.076,0.20.1,56.0,graphviz,anaconda/python-graphviz,,,,60590.0,57152.0,https://pypi.org/project/graphviz,2022-07-23 11:35:06.076,3438.0,7872918.0,7873445.0,https://anaconda.org/anaconda/python-graphviz,2023-12-06 23:46:08.496,42165.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +105,arviz,arviz-devs/arviz,interpretability,,https://github.com/arviz-devs/arviz,https://github.com/arviz-devs/arviz,Apache-2.0,2015-07-29 11:51:10.000,2023-12-03 09:48:43.000000,2023-11-17 19:35:04,1516.0,10.0,360.0,48.0,1460.0,167.0,664.0,1464.0,Exploratory analysis of Bayesian models with Python.,150.0,36,True,2023-07-18 20:14:08.000,0.16.1,34.0,arviz,conda-forge/arviz,,,,5496.0,5336.0,https://pypi.org/project/arviz,2023-07-18 20:14:08.000,160.0,1305341.0,1353100.0,https://anaconda.org/conda-forge/arviz,2023-09-19 13:51:11.324,2053592.0,,,,,1.0,133.0,,,,,,,,,,,,,,,,,,, +106,Wand,emcconville/wand,image,,https://github.com/emcconville/wand,https://github.com/emcconville/wand,MIT,2011-09-30 21:36:38.000,2023-11-25 02:48:21.000000,2023-11-25 02:48:16,1844.0,18.0,199.0,30.0,208.0,22.0,388.0,1336.0,The ctypes-based simple ImageMagick binding for Python.,104.0,36,True,2023-11-04 01:41:17.000,0.6.13,56.0,wand,conda-forge/wand,,,,18429.0,17716.0,https://pypi.org/project/wand,2023-11-03 23:18:50.000,713.0,993679.0,994896.0,https://anaconda.org/conda-forge/wand,2023-06-16 16:16:46.218,35531.0,,,,,2.0,32595.0,,,,,,,,,,,,,,,,,,, +107,Nilearn,nilearn/nilearn,medical-data,,https://github.com/nilearn/nilearn,https://github.com/nilearn/nilearn,BSD-3-Clause,2011-01-09 19:02:23.000,2023-12-07 14:06:35.000000,2023-12-07 10:05:53,10131.0,116.0,532.0,69.0,2229.0,296.0,1659.0,1061.0,Machine learning for NeuroImaging in Python.,229.0,36,True,2023-10-01 19:30:40.000,0.10.2,45.0,nilearn,conda-forge/nilearn,,,['sklearn'],3028.0,2741.0,https://pypi.org/project/nilearn,2023-09-29 11:10:28.000,287.0,56421.0,63325.0,https://anaconda.org/conda-forge/nilearn,2023-10-02 11:59:55.930,255332.0,,,,,1.0,147.0,,,,,,,,,,,,,,,,,,, +108,pyproj,pyproj4/pyproj,geospatial-data,,https://github.com/pyproj4/pyproj,https://github.com/pyproj4/pyproj,MIT,2014-12-29 21:38:25.000,2023-11-08 03:22:56.000000,2023-11-08 03:20:43,1527.0,15.0,208.0,33.0,668.0,25.0,562.0,943.0,Python interface to PROJ (cartographic projections and coordinate transformations library).,65.0,36,True,2023-09-21 02:07:12.000,3.6.1,61.0,pyproj,conda-forge/pyproj,,,,27545.0,25536.0,https://pypi.org/project/pyproj,2023-09-21 02:07:12.000,2009.0,8267690.0,8438554.0,https://anaconda.org/conda-forge/pyproj,2023-11-06 11:49:19.848,7005432.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +109,fastText,facebookresearch/fastText,nlp,,https://github.com/facebookresearch/fastText,https://github.com/facebookresearch/fastText,MIT,2016-07-16 13:38:42.000,2023-12-05 14:58:09.000000,2023-11-27 23:41:10,388.0,3.0,4645.0,849.0,265.0,543.0,611.0,25252.0,Library for fast text representation and classification.,67.0,35,True,2020-04-28 09:54:50.000,0.9.2,36.0,fasttext,conda-forge/fasttext,,,,5517.0,5295.0,https://pypi.org/project/fasttext,2020-04-28 09:54:50.000,222.0,896347.0,898118.0,https://anaconda.org/conda-forge/fasttext,2023-09-26 23:15:16.887,69106.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +110,EasyOCR,JaidedAI/EasyOCR,ocr,,https://github.com/JaidedAI/EasyOCR,https://github.com/JaidedAI/EasyOCR,Apache-2.0,2020-03-14 11:46:39.000,2023-12-07 10:01:38.000000,2023-09-04 11:42:16,615.0,,2739.0,299.0,240.0,308.0,582.0,20330.0,"Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic,..",128.0,35,True,2023-09-04 11:55:27.000,1.7.1,32.0,easyocr,,,,,4546.0,4477.0,https://pypi.org/project/easyocr,2023-09-04 11:55:27.000,69.0,222949.0,403263.0,,,,,,,,1.0,7573213.0,,,,,,,,,,,,,,,,,,, +111,InsightFace,deepinsight/insightface,image,,https://github.com/deepinsight/insightface,https://github.com/deepinsight/insightface,MIT,2017-09-01 00:36:51.000,2023-11-14 17:36:10.000000,2023-09-10 02:01:49,2281.0,2.0,4834.0,495.0,150.0,985.0,1345.0,19234.0,State-of-the-art 2D and 3D Face Analysis Project.,57.0,35,True,2023-04-02 08:03:01.222,0.7.3,28.0,insightface,,,,['mxnet'],1300.0,1289.0,https://pypi.org/project/insightface,2022-12-17 02:14:00.699,11.0,492721.0,642024.0,,,,,,,,2.0,1194429.0,,,,,,,,,,,,,,,,,,, +112,Recommenders,microsoft/recommenders,recommender-systems,,https://github.com/recommenders-team/recommenders,https://github.com/recommenders-team/recommenders,MIT,2018-09-19 10:06:07.000,2023-12-07 03:38:29.000000,2023-10-13 16:32:21,8666.0,128.0,2826.0,264.0,1210.0,164.0,653.0,16779.0,Best Practices on Recommendation Systems.,128.0,35,True,2022-07-20 05:58:55.000,1.1.1,12.0,recommenders,,,,,94.0,92.0,https://pypi.org/project/recommenders,2022-04-01 08:49:49.000,2.0,61695.0,61702.0,,,,,,,,1.0,448.0,,,recommenders-team/recommenders,,,,,,,,,,,,,,,, +113,imgaug,aleju/imgaug,image,,https://github.com/aleju/imgaug,https://github.com/aleju/imgaug,MIT,2015-07-10 20:31:33.000,2023-07-26 09:00:34.000000,2020-06-01 14:58:26,2913.0,,2395.0,231.0,336.0,294.0,223.0,13907.0,Image augmentation for machine learning experiments.,36.0,35,False,2020-02-06 06:18:40.000,0.4.0,11.0,imgaug,conda-forge/imgaug,,,,17926.0,17507.0,https://pypi.org/project/imgaug,2020-02-05 20:54:22.000,419.0,331407.0,334144.0,https://anaconda.org/conda-forge/imgaug,2023-06-16 16:15:24.882,147822.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +114,ivy,unifyai/ivy,ml-frameworks,,https://github.com/unifyai/ivy,https://github.com/unifyai/ivy,Apache-2.0,2021-01-19 08:37:25.000,2023-12-07 15:03:03.000000,2023-12-07 11:15:05,17184.0,1146.0,6000.0,68.0,11178.0,3548.0,13194.0,13816.0,The Unified AI Framework.,1443.0,35,True,2023-06-29 19:33:01.167,0.0.0,103.0,ivy,,,,,9.0,,https://pypi.org/project/ivy,2023-10-11 17:04:40.000,9.0,432.0,432.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +115,ChatterBot,gunthercox/ChatterBot,nlp,,https://github.com/gunthercox/ChatterBot,https://github.com/gunthercox/ChatterBot,BSD-3-Clause,2014-09-28 14:49:00.000,2023-11-26 17:29:04.000000,2021-06-01 10:43:00,1848.0,,4426.0,549.0,712.0,390.0,1267.0,13707.0,"ChatterBot is a machine learning, conversational dialog engine for creating chat bots.",103.0,35,False,2020-08-22 18:42:43.000,1.0.8,86.0,chatterbot,,,,,5817.0,5464.0,https://pypi.org/project/chatterbot,2020-08-22 18:40:36.000,353.0,40972.0,40972.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +116,horovod,horovod/horovod,distributed-ml,,https://github.com/horovod/horovod,https://github.com/horovod/horovod,Apache-2.0,2017-08-09 19:39:59.000,2023-12-03 12:09:22.000000,2023-09-18 08:44:36,1331.0,5.0,2226.0,331.0,1577.0,373.0,1847.0,13690.0,"Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.",172.0,35,True,2023-06-12 09:28:02.604,0.28.1,77.0,horovod,,,,,1090.0,1054.0,https://pypi.org/project/horovod,2023-06-12 09:28:02.604,36.0,57843.0,57843.0,,,,,,,,2.0,,,stable/horovod,,,,,,,,,,,,,,,,, +117,Albumentations,albumentations-team/albumentations,image,,https://github.com/albumentations-team/albumentations,https://github.com/albumentations-team/albumentations,MIT,2018-06-06 03:10:50.000,2023-12-07 06:42:44.000000,2023-12-07 06:42:43,786.0,7.0,1534.0,129.0,663.0,372.0,436.0,12870.0,Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation:..,133.0,35,True,2023-06-10 07:46:02.827,1.3.1,53.0,albumentations,conda-forge/albumentations,,,['pytorch'],19592.0,19255.0,https://pypi.org/project/albumentations,2023-06-10 07:46:02.827,337.0,1069083.0,1071799.0,https://anaconda.org/conda-forge/albumentations,2023-06-12 13:29:26.010,146702.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +118,haystack,deepset-ai/haystack,nlp,,https://github.com/deepset-ai/haystack,https://github.com/deepset-ai/haystack,Apache-2.0,2019-11-14 09:05:28.000,2023-12-07 14:24:44.000000,2023-12-07 13:01:32,2909.0,370.0,1493.0,117.0,3084.0,402.0,2360.0,11841.0,"LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models,..",223.0,35,True,2023-11-09 16:44:55.000,1.22.1,71.0,haystack,,,,,127.0,40.0,https://pypi.org/project/haystack,2021-12-15 14:01:39.322,87.0,2267.0,2267.0,,,,,,,,2.0,23.0,,,,,,,,,,,,,,,,,,, +119,AllenNLP,allenai/allennlp,nlp,,https://github.com/allenai/allennlp,https://github.com/allenai/allennlp,Apache-2.0,2017-05-15 15:52:41.000,2023-06-16 16:12:37.768000,2022-11-22 00:42:46,2719.0,,2260.0,285.0,3096.0,91.0,2477.0,11611.0,"An open-source NLP research library, built on PyTorch.",266.0,35,False,2022-10-18 23:54:05.191,2.10.1,265.0,allennlp,conda-forge/allennlp,,,['pytorch'],4031.0,3841.0,https://pypi.org/project/allennlp,2022-10-18 23:54:05.191,190.0,44967.0,46934.0,https://anaconda.org/conda-forge/allennlp,2023-06-16 16:12:37.768,118078.0,,,,,2.0,62.0,,,,,,,,,,,,,,,,,,, +120,TextBlob,sloria/TextBlob,nlp,,https://github.com/sloria/TextBlob,https://github.com/sloria/TextBlob,MIT,2013-06-30 18:29:18.000,2023-06-16 13:22:54.304000,2023-03-11 18:17:15,563.0,,1123.0,268.0,156.0,113.0,155.0,8770.0,"Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation,..",36.0,35,True,2021-10-22 03:18:24.000,0.17.1,59.0,textblob,conda-forge/textblob,,,,35834.0,34406.0,https://pypi.org/project/textblob,2021-10-22 03:18:24.000,1428.0,600273.0,603001.0,https://anaconda.org/conda-forge/textblob,2023-06-16 13:22:54.304,240073.0,,,,,2.0,113.0,,,,,,,,,,,,,,,,,,, +121,sentencepiece,google/sentencepiece,nlp,,https://github.com/google/sentencepiece,https://github.com/google/sentencepiece,Apache-2.0,2017-03-07 10:03:48.000,2023-12-05 02:21:51.000000,2023-11-17 03:49:04,887.0,3.0,1037.0,123.0,263.0,36.0,647.0,8607.0,Unsupervised text tokenizer for Neural Network-based text generation.,79.0,35,True,2023-05-02 04:26:07.683,0.1.99,34.0,sentencepiece,conda-forge/sentencepiece,,,,49300.0,48393.0,https://pypi.org/project/sentencepiece,2023-05-02 04:26:07.683,907.0,10753157.0,10770282.0,https://anaconda.org/conda-forge/sentencepiece,2023-11-02 09:17:09.257,681665.0,,,,,2.0,32040.0,,,,,,,,,,,,,,,,,,, +122,Vowpal Wabbit,VowpalWabbit/vowpal_wabbit,ml-frameworks,,https://github.com/VowpalWabbit/vowpal_wabbit,https://github.com/VowpalWabbit/vowpal_wabbit,BSD-3-Clause,2009-07-31 19:36:58.000,2023-12-06 19:08:01.000000,2023-11-17 16:27:58,10398.0,8.0,1965.0,349.0,3412.0,143.0,1130.0,8330.0,Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as..,332.0,35,True,2023-07-19 17:15:55.000,9.9.0,29.0,vowpalwabbit,conda-forge/vowpalwabbit,,,,34.0,,https://pypi.org/project/vowpalwabbit,2023-07-19 17:15:55.000,34.0,120157.0,123737.0,https://anaconda.org/conda-forge/vowpalwabbit,2023-10-08 10:19:04.401,136061.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +123,Pyro,pyro-ppl/pyro,probabilistics,,https://github.com/pyro-ppl/pyro,https://github.com/pyro-ppl/pyro,Apache-2.0,2017-06-16 05:03:47.000,2023-12-06 21:39:33.000000,2023-12-06 21:28:39,2431.0,22.0,971.0,204.0,2256.0,241.0,824.0,8218.0,Deep universal probabilistic programming with Python and PyTorch.,147.0,35,True,2023-07-29 21:20:27.000,1.8.6,34.0,pyro-ppl,conda-forge/pyro-ppl,,,['pytorch'],1871.0,1763.0,https://pypi.org/project/pyro-ppl,2023-07-29 21:09:56.000,108.0,297066.0,301079.0,https://anaconda.org/conda-forge/pyro-ppl,2023-07-29 23:12:47.995,132446.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +124,einops,arogozhnikov/einops,ml-frameworks,,https://github.com/arogozhnikov/einops,https://github.com/arogozhnikov/einops,MIT,2018-09-22 00:45:08.000,2023-12-07 08:16:04.000000,2023-10-11 23:12:41,657.0,25.0,316.0,69.0,103.0,30.0,127.0,7456.0,"Deep learning operations reinvented (for pytorch, tensorflow, jax and others).",24.0,35,True,2023-10-01 01:13:46.000,0.7.0,14.0,einops,conda-forge/einops,,,,22535.0,21763.0,https://pypi.org/project/einops,2023-10-01 01:13:46.000,772.0,5096555.0,5101083.0,https://anaconda.org/conda-forge/einops,2023-10-01 10:01:09.036,172071.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +125,stanza,stanfordnlp/stanza,nlp,,https://github.com/stanfordnlp/stanza,https://github.com/stanfordnlp/stanza,Apache-2.0,2017-09-26 08:00:56.000,2023-12-07 09:02:42.000000,2023-12-02 06:10:46,4212.0,225.0,900.0,144.0,459.0,78.0,756.0,6871.0,"Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages.",66.0,35,True,2023-12-03 06:48:53.000,1.7.0,22.0,stanza,stanfordnlp/stanza,,,,2378.0,2285.0,https://pypi.org/project/stanza,2023-12-03 06:48:53.000,93.0,188400.0,188561.0,https://anaconda.org/stanfordnlp/stanza,2023-06-16 19:18:21.932,7277.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +126,imbalanced-learn,scikit-learn-contrib/imbalanced-learn,sklearn-utils,,https://github.com/scikit-learn-contrib/imbalanced-learn,https://github.com/scikit-learn-contrib/imbalanced-learn,MIT,2014-08-16 05:08:26.000,2023-11-28 15:45:20.000000,2023-10-23 10:43:57,848.0,2.0,1247.0,141.0,489.0,35.0,539.0,6570.0,A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning.,80.0,35,True,2023-07-08 22:17:53.000,0.11.0,33.0,imbalanced-learn,conda-forge/imbalanced-learn,,,['sklearn'],22576.0,22231.0,https://pypi.org/project/imbalanced-learn,2023-07-08 21:51:38.887,345.0,6165239.0,6177370.0,https://anaconda.org/conda-forge/imbalanced-learn,2023-07-08 22:18:55.284,509539.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +127,BentoML,bentoml/BentoML,model-serialisation,,https://github.com/bentoml/BentoML,https://github.com/bentoml/BentoML,Apache-2.0,2019-04-02 01:39:27.000,2023-12-07 10:21:49.000000,2023-12-07 05:27:42,2706.0,81.0,668.0,75.0,3138.0,176.0,787.0,5960.0,Build Production-Grade AI Applications.,189.0,35,True,2023-11-20 04:07:45.000,1.1.10,119.0,bentoml,,,,,1422.0,1410.0,https://pypi.org/project/bentoml,2023-11-20 04:05:51.000,12.0,69534.0,69571.0,,,,,,,,2.0,2125.0,,,,,,,,,,,,,,,,,,, +128,Ignite,pytorch/ignite,ml-frameworks,,https://github.com/pytorch/ignite,https://github.com/pytorch/ignite,BSD-3-Clause,2017-11-23 17:31:21.000,2023-12-07 00:13:27.000000,2023-12-04 14:53:10,1651.0,35.0,609.0,60.0,1793.0,162.0,1213.0,4391.0,High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.,352.0,35,True,2023-10-19 08:24:46.000,0.4.13,1466.0,pytorch-ignite,pytorch/ignite,,,['pytorch'],2597.0,2548.0,https://pypi.org/project/pytorch-ignite,2023-12-07 00:13:27.000,49.0,250394.0,252955.0,https://anaconda.org/pytorch/ignite,2023-10-19 08:25:55.130,169041.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +129,geopy,geopy/geopy,geospatial-data,,https://github.com/geopy/geopy,https://github.com/geopy/geopy,MIT,2010-03-04 22:05:28.000,2023-11-24 00:10:43.371000,2023-11-23 21:41:49,1136.0,6.0,661.0,90.0,266.0,32.0,252.0,4140.0,Geocoding library for Python.,133.0,35,True,2023-11-23 21:50:14.000,2.4.1,61.0,geopy,conda-forge/geopy,,,,4041.0,,https://pypi.org/project/geopy,2023-11-23 21:49:30.000,4041.0,4796305.0,4825604.0,https://anaconda.org/conda-forge/geopy,2023-11-24 00:10:43.371,1230576.0,,,,,2.0,9.0,,,,,,,,,,,,,,,,,,, +130,TorchServe,pytorch/serve,model-serialisation,,https://github.com/pytorch/serve,https://github.com/pytorch/serve,Apache-2.0,2019-10-03 03:17:43.000,2023-12-07 07:00:18.000000,2023-12-06 18:10:27,3602.0,111.0,782.0,57.0,1360.0,339.0,1166.0,3797.0,"Serve, optimize and scale PyTorch models in production.",181.0,35,True,2023-10-13 00:21:43.000,0.9.0,22.0,torchserve,pytorch/torchserve,pytorch/torchserve,,['pytorch'],574.0,559.0,https://pypi.org/project/torchserve,2023-10-12 22:01:55.000,15.0,40711.0,68261.0,https://anaconda.org/pytorch/torchserve,2023-10-12 22:01:52.717,138657.0,https://hub.docker.com/r/pytorch/torchserve,2023-10-12 22:44:52.307587,22.0,1213825.0,2.0,5423.0,,,,,,,,,,,,,,,,,,, +131,VisPy,vispy/vispy,data-viz,,https://github.com/vispy/vispy,https://github.com/vispy/vispy,BSD-3-Clause,2013-03-21 18:43:22.000,2023-12-05 20:37:41.000000,2023-10-31 15:18:07,7309.0,29.0,606.0,117.0,1149.0,323.0,1101.0,3153.0,High-performance interactive 2D/3D data visualization library.,189.0,35,True,2023-10-03 22:23:12.000,0.14.1,37.0,vispy,conda-forge/vispy,,,['jupyter'],1478.0,1340.0,https://pypi.org/project/vispy,2023-10-03 22:13:28.000,137.0,395452.0,406852.0,https://anaconda.org/conda-forge/vispy,2023-10-04 03:59:45.400,444205.0,,,,,2.0,,,,,vispy,https://www.npmjs.com/package/vispy,2020-03-15 14:39:41.516,1.0,11.0,,,,,,,,,,, +132,Thinc,explosion/thinc,ml-frameworks,,https://github.com/explosion/thinc,https://github.com/explosion/thinc,MIT,2014-10-16 16:34:59.000,2023-11-19 09:15:38.000000,2023-11-08 15:28:17,5266.0,9.0,281.0,81.0,770.0,19.0,123.0,2768.0,"A refreshing functional take on deep learning, compatible with your favorite libraries.",63.0,35,True,2023-09-22 09:35:25.000,8.2.1,229.0,thinc,conda-forge/thinc,,,,40598.0,39962.0,https://pypi.org/project/thinc,2023-09-22 09:19:43.000,636.0,6119562.0,6181766.0,https://anaconda.org/conda-forge/thinc,2023-09-25 06:51:17.362,2674780.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +133,HoloViews,holoviz/holoviews,data-viz,,https://github.com/holoviz/holoviews,https://github.com/holoviz/holoviews,BSD-3-Clause,2014-05-07 16:59:22.000,2023-12-07 07:18:39.000000,2023-12-06 14:09:22,10663.0,75.0,382.0,58.0,2870.0,1044.0,2103.0,2525.0,"With Holoviews, your data visualizes itself.",137.0,35,True,2023-11-09 09:16:35.000,1.18.1,151.0,holoviews,conda-forge/holoviews,,,['jupyter'],268.0,,https://pypi.org/project/holoviews,2023-12-06 14:13:00.000,266.0,323695.0,359075.0,https://anaconda.org/conda-forge/holoviews,2023-11-08 21:19:49.170,1458326.0,,,,,2.0,,,,,@pyviz/jupyterlab_pyviz,https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz,2023-08-16 17:21:06.628,2.0,658.0,,,,,,,,,,, +134,torchaudio,pytorch/audio,audio,,https://github.com/pytorch/audio,https://github.com/pytorch/audio,BSD-2-Clause,2017-05-05 00:38:05.000,2023-12-07 11:34:29.000000,2023-12-01 01:48:51,2293.0,57.0,611.0,75.0,2835.0,179.0,713.0,2283.0,"Data manipulation and transformation for audio signal processing, powered by PyTorch.",221.0,35,True,2023-11-15 22:19:00.000,2.1.1,29.0,torchaudio,,,,['pytorch'],496.0,,https://pypi.org/project/torchaudio,2023-11-15 16:46:55.000,496.0,1933141.0,1933141.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +135,Ax,facebook/Ax,hyperopt,,https://github.com/facebook/Ax,https://github.com/facebook/Ax,MIT,2019-02-09 15:23:44.000,2023-12-07 06:42:08.000000,2023-12-07 00:52:06,2726.0,191.0,276.0,68.0,1439.0,54.0,573.0,2186.0,Adaptive Experimentation Platform.,157.0,35,True,2023-11-13 23:05:13.000,0.3.5,38.0,ax-platform,conda-forge/ax-platform,,,['pytorch'],622.0,594.0,https://pypi.org/project/ax-platform,2023-11-13 23:05:13.000,28.0,90717.0,91245.0,https://anaconda.org/conda-forge/ax-platform,2023-11-17 23:01:51.328,15862.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +136,snakemake,snakemake/snakemake,ml-experiments,,https://github.com/snakemake/snakemake,https://github.com/snakemake/snakemake,MIT,2015-10-17 15:43:54.867,2023-12-07 10:40:31.000000,2023-12-07 08:31:12,4924.0,120.0,463.0,22.0,1103.0,859.0,575.0,1995.0,"This is the development home of the workflow management system Snakemake. For general information, see.",310.0,35,True,2023-09-18 14:47:18.000,7.32.4,284.0,snakemake,bioconda/snakemake,,,,2040.0,1782.0,https://pypi.org/project/snakemake,2023-09-18 14:47:18.000,258.0,329433.0,338881.0,https://anaconda.org/bioconda/snakemake,2023-10-17 09:53:13.042,925997.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +137,TF Addons,tensorflow/addons,tensorflow-utils,,https://github.com/tensorflow/addons,https://github.com/tensorflow/addons,Apache-2.0,2018-11-26 23:57:17.000,2023-12-04 23:19:06.000000,2023-11-28 01:10:27,1517.0,7.0,590.0,58.0,1880.0,251.0,894.0,1673.0,Useful extra functionality for TensorFlow 2.x maintained by SIG-addons.,206.0,35,True,2023-11-28 01:45:31.000,0.23.0,38.0,tensorflow-addons,,,,['tensorflow'],13824.0,13599.0,https://pypi.org/project/tensorflow-addons,2023-11-28 01:45:31.000,225.0,829510.0,829510.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +138,huggingface_hub,huggingface/huggingface_hub,model-serialisation,,https://github.com/huggingface/huggingface_hub,https://github.com/huggingface/huggingface_hub,Apache-2.0,2020-12-22 10:20:28.000,2023-12-06 14:37:32.000000,2023-12-06 14:37:31,1213.0,135.0,315.0,60.0,1128.0,108.0,548.0,1369.0,All the open source things related to the Hugging Face Hub.,122.0,35,True,2023-11-16 16:22:16.000,0.19.4,89.0,huggingface_hub,conda-forge/huggingface_hub,,,,552.0,,https://pypi.org/project/huggingface_hub,2023-11-16 16:16:42.000,552.0,22729781.0,22773802.0,https://anaconda.org/conda-forge/huggingface_hub,2023-11-20 21:28:32.103,1496722.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +139,agate,wireservice/agate,others,,https://github.com/wireservice/agate,https://github.com/wireservice/agate,MIT,2014-04-25 13:59:09.000,2023-11-20 20:12:58.000000,2023-10-18 03:51:44,1522.0,27.0,150.0,41.0,132.0,7.0,640.0,1149.0,A Python data analysis library that is optimized for humans instead of machines.,52.0,35,True,2023-10-18 03:54:36.000,1.9.0,31.0,agate,conda-forge/agate,,,,2618.0,2471.0,https://pypi.org/project/agate,2023-10-18 03:54:36.000,147.0,4375790.0,4380827.0,https://anaconda.org/conda-forge/agate,2023-10-18 11:17:00.880,156170.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +140,Fiona,Toblerity/Fiona,geospatial-data,,https://github.com/Toblerity/Fiona,https://github.com/Toblerity/Fiona,BSD-3-Clause,2011-12-31 19:47:00.000,2023-12-05 18:18:24.000000,2023-12-05 18:18:19,1470.0,17.0,211.0,47.0,524.0,32.0,731.0,1092.0,Fiona reads and writes geographic data files.,72.0,35,True,2023-10-12 19:29:21.000,1.9.5,108.0,fiona,conda-forge/fiona,,,,16563.0,16515.0,https://pypi.org/project/fiona,2023-10-12 19:16:01.000,48.0,6574045.0,6699442.0,https://anaconda.org/conda-forge/fiona,2023-11-15 12:49:41.898,5141283.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +141,Netron,lutzroeder/netron,interpretability,,https://github.com/lutzroeder/netron,https://github.com/lutzroeder/netron,MIT,2010-12-26 12:53:43.000,2023-12-07 03:55:52.000000,2023-12-07 03:55:48,7388.0,251.0,2592.0,298.0,182.0,21.0,994.0,24709.0,"Visualizer for neural network, deep learning and machine learning models.",2.0,34,True,2023-12-02 02:30:06.000,7.3.2,609.0,netron,,,,"['pytorch', 'tensorflow']",85.0,11.0,https://pypi.org/project/netron,2023-12-02 02:30:06.000,74.0,21307.0,88928.0,,,,,,,,1.0,67621.0,,,,,,,,,,,,,,,,,,, +142,MindsDB,mindsdb/mindsdb,ml-frameworks,,https://github.com/mindsdb/mindsdb,https://github.com/mindsdb/mindsdb,GPL-3.0,2018-08-02 17:56:45.000,2023-12-07 13:51:00.000000,2023-12-07 08:17:01,16336.0,2175.0,2528.0,377.0,4445.0,592.0,3102.0,19164.0,MindsDB connects AI models to real time data.,813.0,34,False,2023-12-07 01:01:26.000,23.11.4.1,449.0,mindsdb,,,,['pytorch'],,,https://pypi.org/project/mindsdb,2023-12-07 00:03:21.000,,20105.0,20105.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +143,OCRmyPDF,ocrmypdf/OCRmyPDF,ocr,,https://github.com/ocrmypdf/OCRmyPDF,https://github.com/ocrmypdf/OCRmyPDF,MPL-2.0,2013-12-20 08:26:28.000,2023-12-07 08:56:43.000000,2023-12-03 23:44:34,3717.0,255.0,801.0,135.0,154.0,91.0,950.0,10581.0,"OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched.",86.0,34,True,2023-11-29 22:51:47.000,15.4.4,227.0,ocrmypdf,conda-forge/ocrmypdf,,,,701.0,684.0,https://pypi.org/project/ocrmypdf,2023-11-29 22:51:47.000,17.0,50351.0,52432.0,https://anaconda.org/conda-forge/ocrmypdf,2023-06-16 19:24:58.228,59582.0,,,,,2.0,1319.0,,,,,,,,,ocrmypdf,ocrmypdf,,,,,,,,, +144,Ludwig,ludwig-ai/ludwig,ml-frameworks,,https://github.com/ludwig-ai/ludwig,https://github.com/ludwig-ai/ludwig,Apache-2.0,2018-12-27 23:58:12.000,2023-12-06 22:36:39.000000,2023-12-06 22:36:39,3750.0,132.0,1107.0,188.0,2726.0,329.0,739.0,10216.0,"Low-code framework for building custom LLMs, neural networks, and other AI models.",147.0,34,True,2023-10-13 16:17:16.000,0.8.6,47.0,ludwig,,,,['tensorflow'],235.0,226.0,https://pypi.org/project/ludwig,2023-10-13 16:17:16.000,9.0,5228.0,5228.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +145,Datasette,simonw/datasette,others,,https://github.com/simonw/datasette,https://github.com/simonw/datasette,Apache-2.0,2017-10-23 00:39:03.000,2023-11-15 15:22:00.000000,2023-10-13 00:00:27,2469.0,25.0,592.0,102.0,435.0,544.0,1157.0,8513.0,An open source multi-tool for exploring and publishing data.,75.0,34,True,2023-10-08 16:10:00.000,0.64.5,140.0,datasette,conda-forge/datasette,,,,1326.0,1118.0,https://pypi.org/project/datasette,2023-10-08 16:10:00.000,208.0,35159.0,36048.0,https://anaconda.org/conda-forge/datasette,2023-09-27 17:06:18.945,28439.0,,,,,2.0,59.0,,,,,,,,,datasette,,,,,,,,,, +146,deepface,serengil/deepface,image,,https://github.com/serengil/deepface,https://github.com/serengil/deepface,MIT,2020-02-08 20:42:28.000,2023-12-07 09:28:17.000000,2023-12-07 09:14:40,1109.0,28.0,1581.0,117.0,98.0,8.0,801.0,8466.0,"A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python.",48.0,34,True,2023-02-23 10:07:02.320,0.0.79,78.0,deepface,,,,,2260.0,2246.0,https://pypi.org/project/deepface,2023-01-24 23:15:00.809,14.0,139928.0,139928.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +147,SpeechRecognition,Uberi/speech_recognition,audio,,https://github.com/Uberi/speech_recognition,https://github.com/Uberi/speech_recognition,BSD-3-Clause,2014-04-23 04:53:54.000,2023-12-06 16:25:19.819000,2023-12-06 12:55:15,486.0,32.0,2328.0,282.0,136.0,310.0,313.0,7713.0,"Speech recognition module for Python, supporting several engines and APIs, online and offline.",49.0,34,True,2023-12-06 13:10:51.000,3.10.1,56.0,SpeechRecognition,conda-forge/speechrecognition,,,,841.0,21.0,https://pypi.org/project/SpeechRecognition,2023-12-06 13:02:22.000,820.0,618082.0,622457.0,https://anaconda.org/conda-forge/speechrecognition,2023-12-06 16:25:19.819,175035.0,,,,,2.0,,2.0,,,,,,,,,,,,,,,,,, +148,PyOD,yzhao062/pyod,others,,https://github.com/yzhao062/pyod,https://github.com/yzhao062/pyod,BSD-2-Clause,2017-10-03 20:29:04.000,2023-11-18 14:21:28.000000,2023-11-18 08:41:51,1720.0,28.0,1295.0,147.0,205.0,188.0,144.0,7655.0,A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection).,50.0,34,True,2023-11-18 08:45:46.000,1.1.2,90.0,pyod,conda-forge/pyod,,,,3140.0,3077.0,https://pypi.org/project/pyod,2023-11-18 08:43:48.000,63.0,705325.0,707351.0,https://anaconda.org/conda-forge/pyod,2023-11-18 09:26:18.014,87151.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +149,Autograd,HIPS/autograd,others,,https://github.com/HIPS/autograd,https://github.com/HIPS/autograd,MIT,2014-11-24 15:50:23.000,2023-12-05 22:52:30.000000,2023-11-16 08:43:39,1418.0,4.0,872.0,218.0,220.0,174.0,233.0,6585.0,Efficiently computes derivatives of numpy code.,56.0,34,True,2023-06-23 08:37:07.368,1.6.2,29.0,autograd,conda-forge/autograd,,,,7102.0,6781.0,https://pypi.org/project/autograd,2023-06-23 08:37:07.368,321.0,1295297.0,1316251.0,https://anaconda.org/conda-forge/autograd,2023-06-26 15:21:38.267,377182.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +150,OpenNMT,OpenNMT/OpenNMT-py,nlp,,https://github.com/OpenNMT/OpenNMT-py,https://github.com/OpenNMT/OpenNMT-py,MIT,2017-02-22 19:01:50.000,2023-12-06 16:57:31.000000,2023-12-04 13:41:19,2858.0,42.0,2223.0,174.0,1112.0,26.0,1400.0,6375.0,Open Source Neural Machine Translation and (Large) Language Models in PyTorch.,191.0,34,True,2023-11-02 12:54:04.000,3.4.3,48.0,OpenNMT-py,,,,['pytorch'],245.0,235.0,https://pypi.org/project/OpenNMT-py,2023-11-02 12:54:04.000,10.0,5121.0,5121.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +151,librosa,librosa/librosa,audio,,https://github.com/librosa/librosa,https://github.com/librosa/librosa,ISC,2012-10-20 14:21:01.000,2023-12-03 19:42:48.000000,2023-11-22 01:25:13,3258.0,10.0,943.0,137.0,635.0,59.0,1093.0,6342.0,Python library for audio and music analysis.,119.0,34,True,2023-08-16 13:52:19.000,0.10.1,41.0,librosa,conda-forge/librosa,,,,1488.0,,https://pypi.org/project/librosa,2023-08-16 13:52:19.000,1488.0,2002227.0,2019542.0,https://anaconda.org/conda-forge/librosa,2023-08-16 18:07:49.183,709934.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +152,FiftyOne,voxel51/fiftyone,data-viz,,https://github.com/voxel51/fiftyone,https://github.com/voxel51/fiftyone,Apache-2.0,2020-04-22 13:43:28.000,2023-12-07 13:14:16.000000,2023-12-06 22:57:40,18735.0,678.0,443.0,51.0,2525.0,476.0,959.0,5534.0,"Visualize, create, and debug image and video datasets and model predictions.",101.0,34,True,2023-12-06 01:49:03.000,0.23.0,134.0,fiftyone,,,,"['tensorflow', 'pytorch', 'jupyter']",458.0,448.0,https://pypi.org/project/fiftyone,2023-12-05 23:58:42.000,10.0,42261.0,42261.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +153,MLxtend,rasbt/mlxtend,sklearn-utils,,https://github.com/rasbt/mlxtend,https://github.com/rasbt/mlxtend,BSD-3-Clause,2014-08-14 01:56:16.000,2023-11-26 16:14:35.000000,2023-11-26 16:14:35,1635.0,6.0,827.0,117.0,519.0,137.0,337.0,4621.0,A library of extension and helper modules for Pythons data analysis and machine learning libraries.,102.0,34,True,2023-09-25 13:23:15.000,0.23.0,51.0,mlxtend,conda-forge/mlxtend,,,['sklearn'],11620.0,11431.0,https://pypi.org/project/mlxtend,2023-09-25 13:23:15.000,189.0,824889.0,832068.0,https://anaconda.org/conda-forge/mlxtend,2023-09-25 18:40:43.024,294362.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +154,AzureML SDK,Azure/MachineLearningNotebooks,ml-experiments,,https://github.com/Azure/MachineLearningNotebooks,https://github.com/Azure/MachineLearningNotebooks,MIT,2018-08-17 17:29:14.000,2023-12-06 21:27:28.000000,2023-11-23 02:24:05,1288.0,7.0,2431.0,1986.0,531.0,374.0,1074.0,3833.0,Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft.,64.0,34,True,2023-11-09 22:25:24.000,1.54.0,101.0,azureml-sdk,,,,,48.0,,https://pypi.org/project/azureml-sdk,2023-11-09 22:25:24.000,48.0,643197.0,643205.0,,,,,,,,2.0,504.0,,,,,,,,,,,,,,,,,,, +155,litellm,BerriAI/litellm,nlp,,https://github.com/BerriAI/litellm,https://github.com/BerriAI/litellm,MIT,2023-07-27 00:09:52.000,2023-12-07 07:53:51.000000,2023-12-07 07:53:51,4246.0,3144.0,314.0,30.0,165.0,145.0,721.0,3489.0,"Call all LLM APIs using the OpenAI format. Use Bedrock, Azure, OpenAI, Cohere, Anthropic, Ollama, Sagemaker,..",69.0,34,True,2023-12-07 04:02:19.000,1.11.0,441.0,litellm,,,,others,575.0,533.0,https://pypi.org/project/litellm,2023-12-07 07:01:07.000,42.0,203994.0,203994.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +156,tensorflow-hub,tensorflow/hub,tensorflow-utils,,https://github.com/tensorflow/hub,https://github.com/tensorflow/hub,Apache-2.0,2018-03-12 07:55:42.000,2023-11-20 09:49:19.000000,2023-11-20 09:49:15,1174.0,11.0,1712.0,148.0,209.0,3.0,681.0,3410.0,A library for transfer learning by reusing parts of TensorFlow models.,106.0,34,True,2023-10-06 10:06:37.000,0.15.0,18.0,tensorflow-hub,conda-forge/tensorflow-hub,,,['tensorflow'],337.0,,https://pypi.org/project/tensorflow-hub,2023-10-06 09:58:50.000,337.0,2218009.0,2220302.0,https://anaconda.org/conda-forge/tensorflow-hub,2023-07-13 16:39:43.723,91731.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +157,rubrix,recognai/rubrix,nlp,,https://github.com/argilla-io/argilla,https://github.com/argilla-io/argilla,Apache-2.0,2021-04-28 14:37:42.000,2023-12-07 15:14:47.000000,2023-11-30 14:42:35,2727.0,244.0,267.0,23.0,2524.0,212.0,1505.0,2686.0,Argilla: the open-source feedback platform for LLMs.,74.0,34,True,2023-11-30 14:11:25.000,1.20.0,100.0,rubrix,conda-forge/rubrix,,,,2106.0,2106.0,https://pypi.org/project/rubrix,2022-10-24 18:22:00.951,,733.0,1898.0,https://anaconda.org/conda-forge/rubrix,2023-06-16 19:28:09.653,27981.0,,,,,2.0,,,,argilla-io/argilla,,,,,,,,,,,,,,,, +158,Lifelines,CamDavidsonPilon/lifelines,medical-data,,https://github.com/CamDavidsonPilon/lifelines,https://github.com/CamDavidsonPilon/lifelines,MIT,2013-08-28 00:16:42.000,2023-11-23 19:27:38.000000,2023-11-15 13:02:20,2274.0,19.0,561.0,70.0,478.0,255.0,680.0,2209.0,Survival analysis in Python.,115.0,34,True,2023-09-13 15:31:06.000,0.27.8,169.0,lifelines,conda-forge/lifelines,,,,2151.0,2024.0,https://pypi.org/project/lifelines,2023-09-13 15:31:06.000,127.0,437290.0,444370.0,https://anaconda.org/conda-forge/lifelines,2023-09-13 16:31:11.545,304440.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +159,PennyLane,PennyLaneAI/PennyLane,others,,https://github.com/PennyLaneAI/pennylane,https://github.com/PennyLaneAI/pennylane,Apache-2.0,2018-04-17 16:45:42.000,2023-12-07 14:56:30.000000,2023-12-06 22:24:12,3773.0,191.0,498.0,53.0,3856.0,321.0,845.0,1993.0,PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum..,149.0,34,True,2023-11-08 21:58:24.000,0.33.1,52.0,pennylane,conda-forge/pennylane,,,,751.0,687.0,https://pypi.org/project/pennylane,2023-11-08 21:58:24.000,64.0,38478.0,39658.0,https://anaconda.org/conda-forge/pennylane,2023-11-21 18:10:47.719,29482.0,,,,,2.0,70.0,2.0,,,,,,,,,,,,,,,,,, +160,optimum,huggingface/optimum,gpu-utilities,,https://github.com/huggingface/optimum,https://github.com/huggingface/optimum,Apache-2.0,2021-07-20 12:36:40.000,2023-12-07 14:51:14.000000,2023-12-07 14:51:13,904.0,80.0,293.0,54.0,1024.0,278.0,323.0,1778.0,Accelerate training and inference of Transformers and Diffusers with easy to use hardware optimization tools.,86.0,34,True,2023-12-06 10:34:27.000,1.15.0,53.0,optimum,conda-forge/optimum,,,,1098.0,1045.0,https://pypi.org/project/optimum,2023-12-06 10:34:14.000,53.0,707780.0,708287.0,https://anaconda.org/conda-forge/optimum,2023-12-06 12:48:00.791,10154.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +161,cartopy,SciTools/cartopy,data-viz,,https://github.com/SciTools/cartopy,https://github.com/SciTools/cartopy,LGPL-3.0,2012-08-03 07:43:59.000,2023-12-06 19:45:23.000000,2023-11-30 18:36:10,2931.0,58.0,348.0,55.0,1108.0,326.0,914.0,1305.0,Cartopy - a cartographic python library with matplotlib support.,124.0,34,False,2023-08-05 00:57:41.000,0.22.0,29.0,cartopy,conda-forge/cartopy,,,,4551.0,4121.0,https://pypi.org/project/cartopy,2023-08-05 00:57:41.000,430.0,159194.0,236460.0,https://anaconda.org/conda-forge/cartopy,2023-10-24 18:58:07.197,3322457.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +162,igraph,igraph/python-igraph,graph,,https://github.com/igraph/python-igraph,https://github.com/igraph/python-igraph,GPL-2.0,2015-01-08 23:55:16.000,2023-12-01 16:13:44.377000,2023-11-19 11:37:16,2761.0,74.0,274.0,34.0,197.0,38.0,490.0,1186.0,Python interface for igraph.,71.0,34,False,2023-11-20 11:09:36.000,0.11.3,39.0,python-igraph,conda-forge/igraph,,,,4125.0,3710.0,https://pypi.org/project/python-igraph,2023-11-20 11:09:36.000,415.0,318762.0,337507.0,https://anaconda.org/conda-forge/igraph,2023-12-01 16:13:44.377,482192.0,,,,,1.0,562086.0,2.0,,,,,,,,,,,,,,,,,, +163,TensorFlow Text,tensorflow/text,nlp,,https://github.com/tensorflow/text,https://github.com/tensorflow/text,Apache-2.0,2019-05-29 22:10:03.000,2023-12-06 19:03:58.000000,2023-10-17 15:41:51,860.0,7.0,313.0,45.0,1004.0,162.0,163.0,1165.0,Making text a first-class citizen in TensorFlow.,111.0,34,True,2023-11-15 19:00:05.000,2.15.0,67.0,tensorflow-text,,,,['tensorflow'],6265.0,6132.0,https://pypi.org/project/tensorflow-text,2023-11-15 18:28:36.000,133.0,3431299.0,3431299.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +164,scikit-learn-intelex,intel/scikit-learn-intelex,sklearn-utils,,https://github.com/intel/scikit-learn-intelex,https://github.com/intel/scikit-learn-intelex,Apache-2.0,2018-08-07 06:45:41.000,2023-12-07 13:56:14.000000,2023-12-07 13:06:08,1507.0,90.0,166.0,31.0,1354.0,58.0,168.0,1086.0,Intel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application.,77.0,34,True,2023-11-30 17:53:01.000,2024.0.1,23.0,scikit-learn-intelex,conda-forge/scikit-learn-intelex,,,['sklearn'],8827.0,8803.0,https://pypi.org/project/scikit-learn-intelex,2023-11-28 16:02:08.000,24.0,291808.0,298886.0,https://anaconda.org/conda-forge/scikit-learn-intelex,2023-07-25 12:42:29.795,226503.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +165,NIPYPE,nipy/nipype,medical-data,,https://github.com/nipy/nipype,https://github.com/nipy/nipype,Apache-2.0,2010-07-22 17:06:49.000,2023-12-06 02:03:46.000000,2023-12-06 02:03:46,14787.0,10.0,506.0,50.0,2274.0,392.0,947.0,706.0,Workflows and interfaces for neuroimaging packages.,251.0,34,True,2023-04-06 12:55:55.544,1.8.6,64.0,nipype,conda-forge/nipype,,,,3977.0,3799.0,https://pypi.org/project/nipype,2023-04-06 12:55:55.544,178.0,93640.0,108350.0,https://anaconda.org/conda-forge/nipype,2023-09-22 18:28:24.915,588410.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +166,DIPY,dipy/dipy,medical-data,,https://github.com/dipy/dipy,https://github.com/dipy/dipy,BSD-3-Clause,2010-02-06 11:43:08.000,2023-12-06 18:03:12.000000,2023-12-06 18:03:11,13561.0,353.0,388.0,51.0,1969.0,151.0,740.0,633.0,"DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic methods for spatial normalization, signal..",153.0,34,True,2023-04-23 23:30:00.533,1.7.0,26.0,dipy,conda-forge/dipy,,,,1061.0,950.0,https://pypi.org/project/dipy,2023-04-23 23:30:00.533,111.0,17376.0,21989.0,https://anaconda.org/conda-forge/dipy,2023-06-16 13:16:19.782,419825.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +167,Face Recognition,ageitgey/face_recognition,image,,https://github.com/ageitgey/face_recognition,https://github.com/ageitgey/face_recognition,MIT,2017-03-03 21:52:39.000,2023-11-06 06:38:09.000000,2022-06-10 09:12:18,238.0,,13248.0,1572.0,224.0,747.0,584.0,50431.0,The worlds simplest facial recognition api for Python and the command line.,54.0,33,False,2020-02-20 14:26:01.000,1.3.0,23.0,face_recognition,conda-forge/face_recognition,,,['pytorch'],82.0,21.0,https://pypi.org/project/face_recognition,2020-02-20 14:26:01.000,61.0,72415.0,72922.0,https://anaconda.org/conda-forge/face_recognition,2023-06-16 19:21:40.721,19199.0,,,,,2.0,1211.0,,,,,,,,,,,,,,,,,,, +168,ColossalAI,hpcaitech/colossalai,distributed-ml,,https://github.com/hpcaitech/ColossalAI,https://github.com/hpcaitech/ColossalAI,Apache-2.0,2021-10-28 16:19:44.000,2023-12-07 10:17:31.000000,2023-12-07 06:02:03,2912.0,174.0,3978.0,372.0,3480.0,321.0,1144.0,35519.0,"Making large AI models cheaper, faster and more accessible.",160.0,33,True,2023-11-01 05:57:35.000,0.3.4,34.0,,,,,,279.0,279.0,,,,,,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +169,detectron2,facebookresearch/detectron2,image,,https://github.com/facebookresearch/detectron2,https://github.com/facebookresearch/detectron2,Apache-2.0,2019-09-05 21:30:20.000,2023-12-07 06:20:49.000000,2023-12-07 06:15:55,1495.0,9.0,6749.0,384.0,645.0,372.0,3035.0,27415.0,"Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.",261.0,33,True,2021-11-15 22:08:26.000,0.6,10.0,detectron2,conda-forge/detectron2,,,['pytorch'],1500.0,1494.0,https://pypi.org/project/detectron2,2020-02-06 00:35:57.000,6.0,,5234.0,https://anaconda.org/conda-forge/detectron2,2023-11-30 09:37:14.142,214602.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +170,Magenta,magenta/magenta,audio,,https://github.com/magenta/magenta,https://github.com/magenta/magenta,Apache-2.0,2016-05-05 20:10:40.000,2023-12-02 01:16:14.308000,2023-07-11 13:03:36,1421.0,,3721.0,765.0,1132.0,373.0,588.0,18750.0,Magenta: Music and Art Generation with Machine Intelligence.,155.0,33,True,2023-12-02 01:16:14.308,0.1.0,68.0,magenta,,,,['tensorflow'],516.0,478.0,https://pypi.org/project/magenta,2022-08-01 18:23:00.243,38.0,3455.0,3455.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +171,NNI,microsoft/nni,hyperopt,,https://github.com/microsoft/nni,https://github.com/microsoft/nni,MIT,2018-06-01 05:51:44.000,2023-10-30 04:23:19.000000,2023-10-26 05:31:53,3012.0,1.0,1817.0,284.0,3502.0,339.0,1675.0,13436.0,"An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural..",192.0,33,True,2023-09-14 12:12:06.000,3.0,55.0,nni,,,,,556.0,521.0,https://pypi.org/project/nni,2023-09-14 12:22:00.000,35.0,17144.0,17144.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +172,PaddleHub,PaddlePaddle/PaddleHub,others,,https://github.com/PaddlePaddle/PaddleHub,https://github.com/PaddlePaddle/PaddleHub,Apache-2.0,2018-12-21 06:00:48.000,2023-10-18 03:42:44.000000,2023-03-28 11:49:55,2665.0,,2090.0,187.0,1005.0,580.0,711.0,12283.0,"Awesome pre-trained models toolkit based on PaddlePaddle. (400+ models including Image, Text, Audio, Video and Cross-..",69.0,33,True,2023-09-20 10:33:08.000,2.4.0,50.0,paddlehub,,,,['paddle'],1474.0,1468.0,https://pypi.org/project/paddlehub,2023-09-20 10:33:08.000,6.0,5985.0,5996.0,,,,,,,,2.0,664.0,,,,,,,,,,,,,,,,,,, +173,Annoy,spotify/annoy,nn-search,,https://github.com/spotify/annoy,https://github.com/spotify/annoy,Apache-2.0,2013-04-01 20:29:40.000,2023-09-25 04:57:08.085000,2023-08-20 17:38:53,890.0,,1110.0,320.0,266.0,54.0,341.0,12233.0,Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk.,88.0,33,True,2023-06-14 16:39:02.504,1.17.3,47.0,annoy,conda-forge/python-annoy,,,,3631.0,3358.0,https://pypi.org/project/annoy,2023-06-14 16:39:02.504,273.0,814792.0,824434.0,https://anaconda.org/conda-forge/python-annoy,2023-09-25 04:57:08.085,376063.0,,,,,2.0,,-2.0,,,,,,,,,,,,,,,,,, +174,Turi Create,apple/turicreate,ml-frameworks,,https://github.com/apple/turicreate,https://github.com/apple/turicreate,BSD-3-Clause,2017-12-01 00:42:04.000,2023-11-01 06:14:06.000000,2021-11-29 19:55:31,1571.0,,1124.0,339.0,1683.0,502.0,1294.0,11122.0,Turi Create simplifies the development of custom machine learning models.,86.0,33,False,2020-09-30 22:51:40.000,6.4.1,31.0,turicreate,,,,,385.0,364.0,https://pypi.org/project/turicreate,2020-09-30 22:51:40.000,21.0,19118.0,19249.0,,,,,,,,3.0,9486.0,,,,,,,,,,,,,,,,,,, +175,Lime,marcotcr/lime,interpretability,,https://github.com/marcotcr/lime,https://github.com/marcotcr/lime,BSD-2-Clause,2016-03-15 22:18:10.000,2023-10-25 13:56:47.000000,2021-07-29 23:17:25,531.0,,1760.0,263.0,114.0,96.0,535.0,11016.0,Lime: Explaining the predictions of any machine learning classifier.,62.0,33,False,2020-04-03 22:05:03.000,0.2.0.0,39.0,lime,conda-forge/lime,,,,4858.0,4688.0,https://pypi.org/project/lime,2020-06-26 21:38:15.000,170.0,302851.0,305152.0,https://anaconda.org/conda-forge/lime,2023-06-16 13:18:57.655,193362.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +176,wordcloud,amueller/word_cloud,data-viz,,https://github.com/amueller/word_cloud,https://github.com/amueller/word_cloud,MIT,2012-11-04 22:57:59.000,2023-12-07 03:09:29.000000,2023-12-07 03:09:29,571.0,8.0,2299.0,221.0,238.0,107.0,411.0,9766.0,A little word cloud generator in Python.,72.0,33,True,2023-05-18 18:12:02.829,1.9.2,19.0,wordcloud,conda-forge/wordcloud,,,,848.0,21.0,https://pypi.org/project/wordcloud,2023-05-18 18:12:02.829,827.0,1443103.0,1454006.0,https://anaconda.org/conda-forge/wordcloud,2023-07-07 15:15:49.535,447055.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +177,TPOT,EpistasisLab/tpot,hyperopt,,https://github.com/EpistasisLab/tpot,https://github.com/EpistasisLab/tpot,LGPL-3.0,2015-11-03 21:08:40.000,2023-11-28 19:16:29.000000,2023-09-06 21:46:11,2424.0,,1542.0,290.0,425.0,281.0,635.0,9338.0,A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.,116.0,33,False,2023-08-15 18:22:07.000,0.12.1,62.0,tpot,conda-forge/tpot,,,['sklearn'],2556.0,2494.0,https://pypi.org/project/tpot,2023-08-15 18:22:07.000,62.0,38865.0,44605.0,https://anaconda.org/conda-forge/tpot,2023-08-15 22:49:07.495,241113.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +178,fuzzywuzzy,seatgeek/fuzzywuzzy,nlp,,https://github.com/seatgeek/fuzzywuzzy,https://github.com/seatgeek/fuzzywuzzy,GPL-2.0,2011-07-08 19:32:34.000,2023-06-16 13:22:53.603000,2021-09-09 20:54:41,384.0,,898.0,261.0,148.0,108.0,103.0,9025.0,Fuzzy String Matching in Python.,70.0,33,False,2020-02-13 22:14:12.000,0.18.0,27.0,fuzzywuzzy,conda-forge/fuzzywuzzy,,,,23694.0,21587.0,https://pypi.org/project/fuzzywuzzy,2020-02-13 21:06:25.000,2107.0,5759202.0,5765022.0,https://anaconda.org/conda-forge/fuzzywuzzy,2023-06-16 13:22:53.603,518004.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +179,Pydub,jiaaro/pydub,audio,,https://github.com/jiaaro/pydub,https://github.com/jiaaro/pydub,MIT,2011-05-02 18:42:38.000,2023-11-28 07:14:23.000000,2022-12-08 17:49:19,746.0,,964.0,134.0,219.0,320.0,269.0,7945.0,Manipulate audio with a simple and easy high level interface.,95.0,33,True,2021-03-10 02:10:41.000,0.25.1,68.0,pydub,conda-forge/pydub,,,,45346.0,44104.0,https://pypi.org/project/pydub,2021-03-10 02:09:53.000,1242.0,2995888.0,2997159.0,https://anaconda.org/conda-forge/pydub,2023-06-16 16:12:25.533,76305.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +180,PaddleSeg,PaddlePaddle/PaddleSeg,image,,https://github.com/PaddlePaddle/PaddleSeg,https://github.com/PaddlePaddle/PaddleSeg,Apache-2.0,2019-08-26 02:32:22.000,2023-12-05 06:53:25.000000,2023-11-30 08:38:45,2893.0,12.0,1572.0,87.0,1619.0,355.0,1602.0,7825.0,"Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in..",116.0,33,True,2023-10-18 03:54:18.000,2.9.0,19.0,paddleseg,,,,['paddle'],1084.0,1080.0,https://pypi.org/project/paddleseg,2022-11-30 11:24:02.578,4.0,1993.0,1993.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +181,tensorboardX,lanpa/tensorboardX,ml-experiments,,https://github.com/lanpa/tensorboardX,https://github.com/lanpa/tensorboardX,MIT,2017-06-13 13:54:19.000,2023-11-12 14:28:03.000000,2023-11-12 14:28:03,528.0,2.0,870.0,86.0,274.0,78.0,376.0,7727.0,"tensorboard for pytorch (and chainer, mxnet, numpy, ...).",82.0,33,True,2023-07-30 14:05:26.000,2.6.2,24.0,tensorboardX,conda-forge/tensorboardx,,,,38296.0,37298.0,https://pypi.org/project/tensorboardX,2023-08-20 13:38:18.000,998.0,2189279.0,2216804.0,https://anaconda.org/conda-forge/tensorboardx,2023-08-20 16:29:43.490,1128330.0,,,,,2.0,401.0,,,,,,,,,,,,,,,,,,, +182,Metaflow,Netflix/metaflow,ml-experiments,,https://github.com/Netflix/metaflow,https://github.com/Netflix/metaflow,Apache-2.0,2019-09-17 17:48:25.000,2023-12-06 05:01:22.000000,2023-12-05 09:26:11,812.0,61.0,696.0,276.0,1064.0,309.0,332.0,7196.0,Build and manage real-life data science projects with ease!.,76.0,33,True,2023-12-04 22:41:41.000,2.10.8,103.0,metaflow,conda-forge/metaflow,,,,586.0,560.0,https://pypi.org/project/metaflow,2023-12-04 22:41:41.000,26.0,182822.0,186629.0,https://anaconda.org/conda-forge/metaflow,2023-12-05 13:25:21.985,156102.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +183,Hyperopt,hyperopt/hyperopt,hyperopt,,https://github.com/hyperopt/hyperopt,https://github.com/hyperopt/hyperopt,BSD-3-Clause,2011-09-06 22:24:59.000,2023-11-13 21:02:31.000000,2023-09-29 18:36:14,1218.0,5.0,1022.0,126.0,270.0,349.0,364.0,6944.0,Distributed Asynchronous Hyperparameter Optimization in Python.,102.0,33,True,2021-11-17 10:07:00.808,0.2.7,13.0,hyperopt,conda-forge/hyperopt,,,,13340.0,12840.0,https://pypi.org/project/hyperopt,2021-11-17 10:07:00.808,500.0,2075076.0,2086841.0,https://anaconda.org/conda-forge/hyperopt,2023-06-16 16:14:11.076,741214.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +184,cuDF,rapidsai/cudf,gpu-utilities,,https://github.com/rapidsai/cudf,https://github.com/rapidsai/cudf,Apache-2.0,2017-05-07 03:43:37.000,2023-12-07 14:47:45.000000,2023-12-07 14:20:48,37799.0,815.0,772.0,146.0,8753.0,903.0,4914.0,6684.0,cuDF - GPU DataFrame Library.,265.0,33,True,2023-12-06 16:26:35.000,23.12.00,43.0,cudf,,,,,58.0,49.0,https://pypi.org/project/cudf,2020-06-01 20:07:47.000,9.0,4932.0,4932.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +185,UMAP,lmcinnes/umap,data-viz,,https://github.com/lmcinnes/umap,https://github.com/lmcinnes/umap,BSD-3-Clause,2017-07-02 01:11:17.000,2023-11-18 18:17:04.167000,2023-11-18 01:09:11,1761.0,24.0,750.0,125.0,265.0,430.0,328.0,6611.0,Uniform Manifold Approximation and Projection.,127.0,33,True,2023-11-18 03:11:17.000,0.5.5,39.0,umap-learn,conda-forge/umap-learn,,,,526.0,1.0,https://pypi.org/project/umap-learn,2023-11-18 03:11:17.000,525.0,862600.0,916461.0,https://anaconda.org/conda-forge/umap-learn,2023-11-18 18:17:04.167,2262169.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +186,Chainer,chainer/chainer,ml-frameworks,,https://github.com/chainer/chainer,https://github.com/chainer/chainer,MIT,2015-06-05 05:50:37.000,2023-08-28 17:18:20.000000,2022-10-17 02:18:00,30611.0,,1397.0,291.0,6588.0,12.0,2030.0,5829.0,A flexible framework of neural networks for deep learning.,325.0,33,False,2022-06-29 08:19:03.000,7.8.1.post1,111.0,chainer,conda-forge/chainer,,,,3548.0,3144.0,https://pypi.org/project/chainer,2022-01-05 05:33:36.000,404.0,21259.0,21612.0,https://anaconda.org/conda-forge/chainer,2023-06-16 19:17:58.452,16257.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +187,InterpretML,interpretml/interpret,interpretability,,https://github.com/interpretml/interpret,https://github.com/interpretml/interpret,MIT,2019-05-03 05:47:52.000,2023-12-04 07:07:20.000000,2023-12-04 06:58:28,2847.0,102.0,684.0,140.0,89.0,74.0,323.0,5803.0,Fit interpretable models. Explain blackbox machine learning.,39.0,33,True,2023-08-28 03:48:17.000,0.4.4,45.0,interpret,,,,['jupyter'],609.0,580.0,https://pypi.org/project/interpret,2023-08-26 19:56:29.000,29.0,85317.0,85317.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +188,DEAP,deap/deap,distributed-ml,,https://github.com/DEAP/deap,https://github.com/DEAP/deap,LGPL-3.0,2014-05-21 20:07:39.000,2023-11-17 15:55:43.000000,2023-07-28 00:16:45,2332.0,,1068.0,190.0,231.0,271.0,278.0,5376.0,Distributed Evolutionary Algorithms in Python.,87.0,33,False,2023-07-21 10:51:54.000,1.4.1,27.0,deap,conda-forge/deap,,,,4565.0,4196.0,https://pypi.org/project/deap,2023-07-21 10:51:54.000,369.0,213326.0,222472.0,https://anaconda.org/conda-forge/deap,2023-09-25 01:16:08.711,347549.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +189,Tesseract,madmaze/pytesseract,ocr,,https://github.com/madmaze/pytesseract,https://github.com/madmaze/pytesseract,Apache-2.0,2010-10-27 23:02:49.000,2023-12-05 18:46:26.000000,2023-11-18 08:34:13,595.0,24.0,680.0,108.0,177.0,14.0,338.0,5220.0,Python-tesseract is an optical character recognition (OCR) tool for python.,45.0,33,True,2023-10-15 15:39:44.000,0.3.13,27.0,pytesseract,conda-forge/pytesseract,,,,1190.0,,https://pypi.org/project/pytesseract,2022-08-16 19:20:38.334,1190.0,1608298.0,1622749.0,https://anaconda.org/conda-forge/pytesseract,2023-10-15 19:50:43.241,592515.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +190,ClearML,allegroai/clearml,ml-experiments,,https://github.com/allegroai/clearml,https://github.com/allegroai/clearml,Apache-2.0,2019-06-10 08:18:32.000,2023-12-07 14:31:59.000000,2023-12-07 14:31:51,2250.0,60.0,605.0,91.0,240.0,401.0,515.0,4897.0,"ClearML - Auto-Magical CI/CD to streamline your ML workflow. Experiment Manager, MLOps and Data-Management.",88.0,33,True,2023-11-08 21:09:23.000,1.13.2,143.0,clearml,,allegroai/trains,,,846.0,830.0,https://pypi.org/project/clearml,2023-11-08 21:07:37.000,16.0,229086.0,229678.0,,,,https://hub.docker.com/r/allegroai/trains,2020-10-05 10:16:46.865671,,30188.0,2.0,1812.0,,,,,,,,,,,,,,,,,,, +191,mlpack,mlpack/mlpack,ml-frameworks,,https://github.com/mlpack/mlpack,https://github.com/mlpack/mlpack,BSD-3-Clause,2014-12-17 18:16:59.000,2023-12-04 21:26:16.000000,2023-12-04 16:23:05,29134.0,335.0,1520.0,183.0,2013.0,28.0,1539.0,4613.0,"mlpack: a fast, header-only C++ machine learning library.",310.0,33,True,2023-11-27 18:45:09.000,4.3.0,46.0,mlpack,conda-forge/mlpack,,,,1.0,,https://pypi.org/project/mlpack,2023-09-07 13:37:40.000,1.0,904.0,4813.0,https://anaconda.org/conda-forge/mlpack,2023-11-29 00:35:31.566,164212.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +192,Captum,pytorch/captum,interpretability,,https://github.com/pytorch/captum,https://github.com/pytorch/captum,BSD-3-Clause,2019-08-27 15:34:41.000,2023-12-05 14:03:18.000000,2023-12-05 13:55:29,1050.0,33.0,461.0,223.0,730.0,191.0,328.0,4300.0,Model interpretability and understanding for PyTorch.,104.0,33,True,2023-12-05 09:21:02.000,0.7.0,10.0,captum,conda-forge/captum,,,['pytorch'],1688.0,1629.0,https://pypi.org/project/captum,2023-12-05 08:32:04.000,59.0,124308.0,125082.0,https://anaconda.org/conda-forge/captum,2023-06-16 19:28:19.191,18590.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +193,ART,Trusted-AI/adversarial-robustness-toolbox,adversarial,,https://github.com/Trusted-AI/adversarial-robustness-toolbox,https://github.com/Trusted-AI/adversarial-robustness-toolbox,MIT,2018-03-15 14:40:43.000,2023-12-07 13:19:17.000000,2023-11-30 17:03:45,11995.0,104.0,1058.0,101.0,1277.0,120.0,739.0,4180.0,"Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction,..",133.0,33,True,2023-09-22 14:42:30.000,1.16.0,56.0,adversarial-robustness-toolbox,conda-forge/adversarial-robustness-toolbox,,,,465.0,456.0,https://pypi.org/project/adversarial-robustness-toolbox,2023-09-22 14:17:16.000,9.0,29197.0,30046.0,https://anaconda.org/conda-forge/adversarial-robustness-toolbox,2023-09-22 17:09:10.511,34820.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +194,opencv-python,opencv/opencv-python,image,,https://github.com/opencv/opencv-python,https://github.com/opencv/opencv-python,MIT,2016-04-08 13:36:40.000,2023-11-09 17:50:54.000000,2023-10-18 12:45:17,932.0,5.0,738.0,86.0,189.0,79.0,643.0,3870.0,"Automated CI toolchain to produce precompiled opencv-python, opencv-python-headless, opencv-contrib-python and opencv-..",48.0,33,True,2023-09-27 14:17:30.000,78,71.0,opencv-python,,,,,11526.0,,https://pypi.org/project/opencv-python,2023-09-28 11:00:22.000,11526.0,11239177.0,11239177.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +195,Core ML Tools,apple/coremltools,model-serialisation,,https://github.com/apple/coremltools,https://github.com/apple/coremltools,BSD-3-Clause,2017-06-30 07:39:02.000,2023-12-06 22:58:54.000000,2023-11-28 19:54:46,1109.0,35.0,564.0,117.0,814.0,272.0,1007.0,3764.0,"Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.",158.0,33,True,2023-11-01 14:46:14.000,7.1,46.0,coremltools,conda-forge/coremltools,,,,3647.0,3477.0,https://pypi.org/project/coremltools,2023-11-01 14:33:59.000,170.0,177891.0,179398.0,https://anaconda.org/conda-forge/coremltools,2023-06-16 19:23:14.592,52768.0,,,,,2.0,8928.0,,,,,,,,,,,,,,,,,,, +196,hnswlib,nmslib/hnswlib,nn-search,,https://github.com/nmslib/hnswlib,https://github.com/nmslib/hnswlib,Apache-2.0,2017-07-06 13:08:46.000,2023-12-03 04:16:17.000000,2023-12-03 03:47:34,490.0,15.0,582.0,63.0,211.0,191.0,148.0,3683.0,Header-only C++/python library for fast approximate nearest neighbors.,72.0,33,True,2023-12-03 04:16:17.000,0.8.0,11.0,hnswlib,conda-forge/hnswlib,,,,5632.0,5569.0,https://pypi.org/project/hnswlib,2023-12-03 04:16:17.000,63.0,682419.0,685748.0,https://anaconda.org/conda-forge/hnswlib,2023-09-27 14:20:16.958,119847.0,,,,,2.0,,2.0,,,,,,,,,,,,,,,,,, +197,plotnine,has2k1/plotnine,data-viz,,https://github.com/has2k1/plotnine,https://github.com/has2k1/plotnine,MIT,2017-04-24 19:00:44.000,2023-12-06 19:34:22.000000,2023-11-21 06:27:27,2000.0,2.0,202.0,65.0,129.0,78.0,512.0,3641.0,A Grammar of Graphics for Python.,103.0,33,True,2023-11-06 11:06:44.000,0.12.4,20.0,plotnine,conda-forge/plotnine,,,,6603.0,6342.0,https://pypi.org/project/plotnine,2023-11-06 11:02:10.000,261.0,1876090.0,1883897.0,https://anaconda.org/conda-forge/plotnine,2023-11-06 12:55:06.721,327935.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +198,torchtext,pytorch/text,nlp,,https://github.com/pytorch/text,https://github.com/pytorch/text,BSD-3-Clause,2016-12-12 00:56:03.000,2023-12-07 11:34:37.000000,2023-12-06 12:46:28,1293.0,4.0,821.0,273.0,1437.0,308.0,512.0,3397.0,"Models, data loaders and abstractions for language processing, powered by PyTorch.",149.0,33,True,2023-11-15 23:09:44.000,0.16.1,29.0,torchtext,,,,['pytorch'],487.0,,https://pypi.org/project/torchtext,2023-11-15 16:47:30.000,487.0,364963.0,364963.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +199,StatsForecast,Nixtla/statsforecast,time-series-data,,https://github.com/Nixtla/statsforecast,https://github.com/Nixtla/statsforecast,Apache-2.0,2021-11-24 02:19:14.000,2023-12-06 23:35:38.000000,2023-12-06 23:32:03,1229.0,37.0,221.0,30.0,391.0,98.0,159.0,3240.0,Lightning fast forecasting with statistical and econometric models.,34.0,33,True,2023-11-13 18:17:17.000,1.6.0,27.0,statsforecast,conda-forge/statsforecast,,,,634.0,608.0,https://pypi.org/project/statsforecast,2023-08-23 19:27:53.000,26.0,549584.0,552214.0,https://anaconda.org/conda-forge/statsforecast,2023-08-25 15:46:41.512,55234.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +200,datashader,holoviz/datashader,data-viz,,https://github.com/holoviz/datashader,https://github.com/holoviz/datashader,BSD-3-Clause,2015-12-23 18:02:20.000,2023-12-04 07:59:34.000000,2023-10-27 18:17:16,1488.0,23.0,363.0,91.0,732.0,131.0,440.0,3109.0,Quickly and accurately render even the largest data.,54.0,33,True,2023-10-26 15:10:16.000,0.16.0,42.0,datashader,conda-forge/datashader,,,,3398.0,3273.0,https://pypi.org/project/datashader,2023-10-31 11:50:35.000,125.0,74316.0,91205.0,https://anaconda.org/conda-forge/datashader,2023-10-27 12:10:53.716,726262.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +201,BoTorch,pytorch/botorch,hyperopt,,https://github.com/pytorch/botorch,https://github.com/pytorch/botorch,MIT,2018-07-30 23:59:57.000,2023-12-07 11:51:55.000000,2023-12-06 07:44:59,1751.0,90.0,341.0,54.0,1483.0,67.0,390.0,2846.0,Bayesian optimization in PyTorch.,106.0,33,True,2023-11-06 23:46:14.000,0.9.4,41.0,botorch,conda-forge/botorch,,,['pytorch'],795.0,758.0,https://pypi.org/project/botorch,2023-11-06 23:46:14.000,37.0,145651.0,148020.0,https://anaconda.org/conda-forge/botorch,2023-11-07 01:30:41.208,94786.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +202,Keras Tuner,keras-team/keras-tuner,hyperopt,,https://github.com/keras-team/keras-tuner,https://github.com/keras-team/keras-tuner,Apache-2.0,2019-06-06 22:38:21.000,2023-11-29 20:31:14.000000,2023-11-29 20:31:13,1079.0,44.0,382.0,63.0,486.0,201.0,268.0,2784.0,A Hyperparameter Tuning Library for Keras.,60.0,33,True,2023-11-07 19:38:18.000,1.4.6,34.0,keras-tuner,conda-forge/keras-tuner,,,['tensorflow'],3008.0,2946.0,https://pypi.org/project/keras-tuner,2023-11-07 19:38:18.000,62.0,164829.0,165782.0,https://anaconda.org/conda-forge/keras-tuner,2023-11-10 05:23:26.167,26708.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +203,scikit-optimize,scikit-optimize/scikit-optimize,hyperopt,,https://github.com/scikit-optimize/scikit-optimize,https://github.com/scikit-optimize/scikit-optimize,BSD-3-Clause,2016-03-20 21:10:54.000,2023-11-27 00:20:23.000000,2021-10-12 13:32:38,1570.0,,502.0,63.0,540.0,303.0,391.0,2691.0,Sequential model-based optimization with a `scipy.optimize` interface.,76.0,33,False,2021-10-12 15:33:19.000,0.9.0,23.0,scikit-optimize,conda-forge/scikit-optimize,,,,5400.0,5129.0,https://pypi.org/project/scikit-optimize,2021-10-12 14:23:01.204,271.0,543839.0,552837.0,https://anaconda.org/conda-forge/scikit-optimize,2023-06-16 13:23:01.487,692897.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +204,tslearn,tslearn-team/tslearn,time-series-data,,https://github.com/tslearn-team/tslearn,https://github.com/tslearn-team/tslearn,BSD-2-Clause,2017-05-04 13:08:13.000,2023-12-05 18:16:28.000000,2023-12-05 18:16:28,1630.0,12.0,317.0,61.0,180.0,119.0,191.0,2659.0,A machine learning toolkit dedicated to time-series data.,43.0,33,True,2023-08-21 13:31:48.000,0.6.2,99.0,tslearn,conda-forge/tslearn,,,['sklearn'],1092.0,1043.0,https://pypi.org/project/tslearn,2023-08-21 13:31:48.000,49.0,287302.0,317397.0,https://anaconda.org/conda-forge/tslearn,2023-08-21 16:01:42.662,1263995.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +205,category_encoders,scikit-learn-contrib/category_encoders,sklearn-utils,,https://github.com/scikit-learn-contrib/category_encoders,https://github.com/scikit-learn-contrib/category_encoders,BSD-3-Clause,2015-11-29 19:32:37.000,2023-12-06 03:40:26.000000,2023-12-03 19:44:44,951.0,32.0,393.0,39.0,149.0,45.0,238.0,2308.0,A library of sklearn compatible categorical variable encoders.,69.0,33,True,2023-10-29 20:29:52.000,2.6.3,32.0,category_encoders,conda-forge/category_encoders,,,['sklearn'],1425.0,1254.0,https://pypi.org/project/category_encoders,2023-10-29 20:29:52.000,171.0,1422275.0,1431771.0,https://anaconda.org/conda-forge/category_encoders,2023-10-30 01:23:52.252,246919.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +206,jellyfish,jamesturk/jellyfish,nlp,,https://github.com/jamesturk/jellyfish,https://github.com/jamesturk/jellyfish,MIT,2010-07-09 20:41:11.000,2023-11-27 23:11:36.000000,2023-11-17 20:35:45,543.0,21.0,161.0,44.0,73.0,7.0,127.0,1932.0,a python library for doing approximate and phonetic matching of strings.,31.0,33,True,2023-11-17 20:44:09.000,1.0.3,42.0,jellyfish,conda-forge/jellyfish,,,,7965.0,7515.0,https://pypi.org/project/jellyfish,2023-11-17 20:44:09.000,450.0,2380154.0,2398149.0,https://anaconda.org/conda-forge/jellyfish,2023-11-17 23:08:09.681,755817.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +207,pmdarima,alkaline-ml/pmdarima,time-series-data,,https://github.com/alkaline-ml/pmdarima,https://github.com/alkaline-ml/pmdarima,MIT,2017-03-30 14:58:30.000,2023-10-30 17:18:47.000000,2023-10-23 16:17:56,1077.0,4.0,227.0,34.0,249.0,51.0,271.0,1460.0,"A statistical library designed to fill the void in Pythons time series analysis capabilities, including the equivalent..",22.0,33,True,2023-10-23 16:52:00.000,2.0.4,44.0,pmdarima,conda-forge/pmdarima,,,,6845.0,6757.0,https://pypi.org/project/pmdarima,2023-10-23 14:02:41.000,88.0,1807998.0,1834901.0,https://anaconda.org/conda-forge/pmdarima,2023-10-27 13:29:40.913,1022348.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +208,ipyleaflet,jupyter-widgets/ipyleaflet,geospatial-data,,https://github.com/jupyter-widgets/ipyleaflet,https://github.com/jupyter-widgets/ipyleaflet,MIT,2014-05-07 16:32:10.000,2023-12-06 17:04:19.000000,2023-11-27 09:56:18,1155.0,8.0,360.0,64.0,576.0,259.0,346.0,1425.0,A Jupyter - Leaflet.js bridge.,86.0,33,True,2023-11-27 10:01:28.313,0.18.0,79.0,ipyleaflet,conda-forge/ipyleaflet,,,['jupyter'],6498.0,6334.0,https://pypi.org/project/ipyleaflet,2023-11-27 09:56:08.000,159.0,137024.0,217253.0,https://anaconda.org/conda-forge/ipyleaflet,2023-11-27 12:51:40.733,1089607.0,,,,,2.0,,,,,jupyter-leaflet,https://www.npmjs.com/package/jupyter-leaflet,2023-11-27 10:01:28.313,5.0,54890.0,,,,,,,,,,, +209,Hail,hail-is/hail,medical-data,,https://github.com/hail-is/hail,https://github.com/hail-is/hail,MIT,2015-10-27 20:55:42.000,2023-12-07 14:14:35.000000,2023-12-06 00:04:32,11232.0,238.0,232.0,58.0,11782.0,185.0,2137.0,896.0,Cloud-native genomic dataframes and batch computing.,91.0,33,True,2023-10-30 17:22:27.000,0.2.126,146.0,hail,,,,['spark'],134.0,117.0,https://pypi.org/project/hail,2023-10-30 17:22:27.000,17.0,51750.0,51750.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +210,snowballstemmer,snowballstem/snowball,nlp,,https://github.com/snowballstem/snowball,https://github.com/snowballstem/snowball,BSD-3-Clause,2013-02-23 07:17:42.000,2023-11-09 02:19:13.000000,2023-11-09 02:15:57,1048.0,105.0,170.0,36.0,113.0,31.0,58.0,696.0,Snowball compiler and stemming algorithms.,34.0,33,True,2021-11-16 18:38:34.000,2.2.0,10.0,snowballstemmer,conda-forge/snowballstemmer,,,,6822.0,5.0,https://pypi.org/project/snowballstemmer,2021-11-16 18:38:34.000,6817.0,10587130.0,10672498.0,https://anaconda.org/conda-forge/snowballstemmer,2023-06-16 13:16:49.834,7512452.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +211,NiBabel,nipy/nibabel,medical-data,,https://github.com/nipy/nibabel,https://github.com/nipy/nibabel,MIT,2010-07-22 16:28:30.000,2023-12-07 13:49:12.000000,2023-12-07 13:49:12,5746.0,168.0,248.0,36.0,782.0,122.0,391.0,595.0,Python package to access a cacophony of neuro-imaging file formats.,100.0,33,True,2023-04-03 15:53:03.644,5.1.0,40.0,nibabel,conda-forge/nibabel,,,,17141.0,15957.0,https://pypi.org/project/nibabel,2023-04-03 15:53:03.644,1184.0,288376.0,304224.0,https://anaconda.org/conda-forge/nibabel,2023-09-29 18:53:45.076,665654.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +212,spleeter,deezer/spleeter,audio,,https://github.com/deezer/spleeter,https://github.com/deezer/spleeter,MIT,2019-09-26 15:40:46.000,2023-11-17 01:43:12.000000,2023-07-13 08:50:20,531.0,,2632.0,381.0,118.0,213.0,558.0,23986.0,Deezer source separation library including pretrained models.,19.0,32,True,2023-07-10 10:07:01.047,2.4.0,37.0,spleeter,conda-forge/spleeter,,,['tensorflow'],627.0,621.0,https://pypi.org/project/spleeter,2022-06-10 13:19:35.000,6.0,17928.0,75741.0,https://anaconda.org/conda-forge/spleeter,2023-06-16 16:18:57.741,78777.0,,,,,2.0,2810308.0,,,,,,,,,,,,,,,,,,, +213,zipline,quantopian/zipline,financial-data,,https://github.com/quantopian/zipline,https://github.com/quantopian/zipline,Apache-2.0,2012-10-19 15:50:29.000,2023-07-17 16:46:23.000000,2020-10-14 16:36:49,6226.0,,4627.0,1000.0,1868.0,357.0,658.0,16673.0,"Zipline, a Pythonic Algorithmic Trading Library.",160.0,32,False,2020-10-05 15:46:20.429,1.4.1,30.0,zipline,conda-forge/zipline,,,,1052.0,967.0,https://pypi.org/project/zipline,2020-10-05 15:46:20.429,85.0,2636.0,2825.0,https://anaconda.org/conda-forge/zipline,2023-06-16 19:21:35.991,7393.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +214,tensor2tensor,tensorflow/tensor2tensor,tensorflow-utils,,https://github.com/tensorflow/tensor2tensor,https://github.com/tensorflow/tensor2tensor,Apache-2.0,2017-06-15 16:57:39.000,2023-06-02 18:55:09.000000,2023-04-01 10:19:28,4379.0,,3293.0,465.0,671.0,589.0,672.0,14356.0,Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.,244.0,32,True,2020-06-17 16:31:34.798,1.15.7,79.0,tensor2tensor,,,,['tensorflow'],1533.0,1443.0,https://pypi.org/project/tensor2tensor,2020-06-17 16:31:34.798,90.0,4911.0,4911.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +215,TFlearn,tflearn/tflearn,ml-frameworks,,https://github.com/tflearn/tflearn,https://github.com/tflearn/tflearn,MIT,2016-03-31 12:05:53.000,2023-12-02 19:19:10.000000,2020-11-30 04:34:51,613.0,,2415.0,461.0,260.0,570.0,362.0,9605.0,Deep learning library featuring a higher-level API for TensorFlow.,128.0,32,False,2020-11-11 19:26:11.000,0.5.0,8.0,tflearn,,,,['tensorflow'],5201.0,4712.0,https://pypi.org/project/tflearn,2020-11-11 19:13:47.000,489.0,7554.0,7554.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +216,featuretools,alteryx/featuretools,hyperopt,,https://github.com/alteryx/featuretools,https://github.com/alteryx/featuretools,BSD-3-Clause,2017-09-08 22:15:17.000,2023-12-06 23:24:30.000000,2023-12-06 23:23:32,1314.0,7.0,848.0,158.0,1653.0,171.0,803.0,6892.0,An open source python library for automated feature engineering.,71.0,32,True,2023-10-26 18:22:23.000,1.28.0,103.0,featuretools,conda-forge/featuretools,,,,1557.0,1479.0,https://pypi.org/project/featuretools,2023-10-26 18:22:23.000,78.0,52397.0,56511.0,https://anaconda.org/conda-forge/featuretools,2023-10-27 14:28:34.721,172807.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +217,DeepPavlov,deepmipt/DeepPavlov,nlp,,https://github.com/deeppavlov/DeepPavlov,https://github.com/deeppavlov/DeepPavlov,Apache-2.0,2017-11-17 14:35:29.000,2023-12-05 06:40:26.000000,2023-10-17 11:40:34,2699.0,6.0,1130.0,210.0,1045.0,18.0,613.0,6410.0,An open source library for deep learning end-to-end dialog systems and chatbots.,76.0,32,True,2023-10-17 11:56:08.000,1.4.0,61.0,deeppavlov,,,,['tensorflow'],373.0,367.0,https://pypi.org/project/deeppavlov,2023-10-17 11:56:08.000,6.0,10672.0,10672.0,,,,,,,,2.0,,,,deeppavlov/DeepPavlov,,,,,,,,,,,,,,,, +218,tensorpack,tensorpack/tensorpack,ml-frameworks,,https://github.com/tensorpack/tensorpack,https://github.com/tensorpack/tensorpack,Apache-2.0,2015-12-25 23:08:44.000,2023-08-06 00:30:36.000000,2023-08-06 00:30:36,2944.0,,1850.0,200.0,206.0,11.0,1343.0,6290.0,"A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility.",58.0,32,True,2020-04-24 19:04:45.487,0.10.1,37.0,tensorpack,conda-forge/tensorpack,,,['tensorflow'],1458.0,1411.0,https://pypi.org/project/tensorpack,2021-01-22 19:59:12.425,47.0,13845.0,14238.0,https://anaconda.org/conda-forge/tensorpack,2023-06-16 19:27:42.012,10170.0,,,,,3.0,160.0,,,,,,,,,,,,,,,,,,, +219,PML,KevinMusgrave/pytorch-metric-learning,pytorch-utils,,https://github.com/KevinMusgrave/pytorch-metric-learning,https://github.com/KevinMusgrave/pytorch-metric-learning,MIT,2019-10-23 17:20:35.000,2023-12-01 17:40:37.000000,2023-07-25 15:00:08,1165.0,,626.0,65.0,128.0,52.0,425.0,5569.0,"The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.",38.0,32,True,2023-07-25 15:01:13.000,2.3.0,207.0,pytorch-metric-learning,metric-learning/pytorch-metric-learning,,,['pytorch'],1081.0,1062.0,https://pypi.org/project/pytorch-metric-learning,2023-07-25 14:56:04.000,19.0,332492.0,332724.0,https://anaconda.org/metric-learning/pytorch-metric-learning,2023-06-16 19:17:36.446,10947.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +220,pyfolio,quantopian/pyfolio,financial-data,,https://github.com/quantopian/pyfolio,https://github.com/quantopian/pyfolio,Apache-2.0,2015-06-01 15:31:39.000,2023-10-09 03:38:19.000000,2020-07-15 13:46:58,1184.0,,1594.0,305.0,293.0,152.0,266.0,5250.0,Portfolio and risk analytics in Python.,59.0,32,False,2019-04-15 15:00:21.000,0.9.2,22.0,pyfolio,conda-forge/pyfolio,,,,950.0,916.0,https://pypi.org/project/pyfolio,2019-04-15 15:00:21.000,34.0,9978.0,10159.0,https://anaconda.org/conda-forge/pyfolio,2023-06-16 16:07:59.111,12704.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +221,River,online-ml/river,others,,https://github.com/online-ml/river,https://github.com/online-ml/river,BSD-3-Clause,2019-01-24 15:18:26.000,2023-12-07 12:31:10.000000,2023-12-06 10:14:56,3837.0,102.0,550.0,84.0,535.0,102.0,458.0,4556.0,Online machine learning in Python.,107.0,32,True,2023-12-05 09:29:54.000,0.21.0,20.0,river,conda-forge/river,,,,408.0,379.0,https://pypi.org/project/river,2023-12-05 00:13:21.000,29.0,23158.0,24764.0,https://anaconda.org/conda-forge/river,2023-10-06 14:40:00.791,51408.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +222,ftfy,rspeer/python-ftfy,nlp,,https://github.com/rspeer/python-ftfy,https://github.com/rspeer/python-ftfy,Apache-2.0,2012-08-24 16:14:59.000,2023-11-22 19:57:21.457000,2023-11-21 23:43:00,614.0,5.0,152.0,76.0,66.0,17.0,120.0,3629.0,"Fixes mojibake and other glitches in Unicode text, after the fact.",18.0,32,True,2023-11-21 23:50:46.000,6.1.3,49.0,ftfy,conda-forge/ftfy,,,,15942.0,15318.0,https://pypi.org/project/ftfy,2023-11-21 23:50:46.000,624.0,3537922.0,3545836.0,https://anaconda.org/conda-forge/ftfy,2023-11-22 19:57:21.457,277013.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +223,filterpy,rlabbe/filterpy,probabilistics,,https://github.com/rlabbe/filterpy,https://github.com/rlabbe/filterpy,MIT,2014-07-15 02:15:19.000,2023-11-09 13:51:49.000000,2022-08-22 18:21:12,586.0,,568.0,78.0,75.0,60.0,161.0,2957.0,"Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman..",43.0,32,False,2021-12-15 15:49:27.374,0.0.13,49.0,filterpy,conda-forge/filterpy,,,,4739.0,4573.0,https://pypi.org/project/filterpy,2021-12-15 15:49:27.374,166.0,1857769.0,1860831.0,https://anaconda.org/conda-forge/filterpy,2023-06-16 13:24:39.196,238880.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +224,Haiku,deepmind/dm-haiku,ml-frameworks,,https://github.com/google-deepmind/dm-haiku,https://github.com/google-deepmind/dm-haiku,Apache-2.0,2020-02-18 07:14:02.000,2023-11-30 11:52:42.000000,2023-11-30 11:52:37,963.0,30.0,220.0,40.0,518.0,71.0,171.0,2648.0,JAX-based neural network library.,79.0,32,True,2023-11-10 14:04:37.000,0.0.11,14.0,dm-haiku,conda-forge/dm-haiku,,,,1691.0,1604.0,https://pypi.org/project/dm-haiku,2023-11-10 14:04:37.000,87.0,229498.0,229908.0,https://anaconda.org/conda-forge/dm-haiku,2023-11-16 14:41:40.026,13954.0,,,,,3.0,,,,google-deepmind/dm-haiku,,,,,,,,,,,,,,,, +225,TF-Agents,tensorflow/agents,reinforcement-learning,,https://github.com/tensorflow/agents,https://github.com/tensorflow/agents,Apache-2.0,2018-11-17 00:29:12.000,2023-12-05 13:52:51.000000,2023-12-05 00:53:51,2264.0,26.0,713.0,79.0,202.0,183.0,460.0,2635.0,"TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.",145.0,32,True,2023-10-03 11:38:48.000,0.18.0,49.0,tf-agents,,,,['tensorflow'],1363.0,1358.0,https://pypi.org/project/tf-agents,2023-10-03 11:38:48.000,5.0,30978.0,30978.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +226,hdbscan,scikit-learn-contrib/hdbscan,others,,https://github.com/scikit-learn-contrib/hdbscan,https://github.com/scikit-learn-contrib/hdbscan,BSD-3-Clause,2015-04-22 13:32:37.000,2023-11-20 19:06:35.000000,2023-11-20 19:03:21,997.0,7.0,478.0,55.0,135.0,341.0,164.0,2576.0,A high performance implementation of HDBSCAN clustering.,86.0,32,True,2023-07-18 17:54:02.116,0.8.33,51.0,hdbscan,conda-forge/hdbscan,,,['sklearn'],3090.0,2869.0,https://pypi.org/project/hdbscan,2023-11-20 19:06:35.000,221.0,481338.0,528026.0,https://anaconda.org/conda-forge/hdbscan,2023-10-06 14:12:48.829,1774165.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +227,EvaDB,georgia-tech-db/eva,ml-frameworks,,https://github.com/georgia-tech-db/evadb,https://github.com/georgia-tech-db/evadb,Apache-2.0,2018-09-10 02:26:03.000,2023-12-05 17:43:52.000000,2023-12-03 09:09:14,2415.0,221.0,241.0,27.0,1119.0,75.0,224.0,2449.0,Database system for AI-powered apps.,73.0,32,True,2023-11-19 16:35:30.000,0.3.9,45.0,evadb,,,,['pytorch'],140.0,140.0,https://pypi.org/project/evadb,2023-11-19 16:35:24.000,,18227.0,42231.0,,,,,,,,3.0,408071.0,,,georgia-tech-db/evadb,,,,,,,,,,,,,,,, +228,TFX,tensorflow/tfx,tensorflow-utils,,https://github.com/tensorflow/tfx,https://github.com/tensorflow/tfx,Apache-2.0,2019-02-04 17:14:36.000,2023-12-07 15:19:03.000000,2023-12-07 06:40:49,5426.0,146.0,668.0,89.0,5616.0,93.0,846.0,2029.0,TFX is an end-to-end platform for deploying production ML pipelines.,178.0,32,True,2023-09-06 22:01:30.000,1.14.0,95.0,tfx,,,,['tensorflow'],14.0,,https://pypi.org/project/tfx,2023-09-06 22:01:30.000,14.0,157980.0,157980.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +229,Pythran,serge-sans-paille/pythran,others,,https://github.com/serge-sans-paille/pythran,https://github.com/serge-sans-paille/pythran,BSD-3-Clause,2012-05-29 08:02:14.000,2023-12-05 08:40:57.000000,2023-12-05 08:40:57,3666.0,7.0,189.0,50.0,1337.0,126.0,707.0,1935.0,Ahead of Time compiler for numeric kernels.,72.0,32,True,2023-09-06 20:25:23.000,0.14.0,58.0,pythran,conda-forge/pythran,,,,1550.0,1528.0,https://pypi.org/project/pythran,2023-09-06 20:25:23.000,22.0,152366.0,163350.0,https://anaconda.org/conda-forge/pythran,2023-09-21 12:37:53.939,428387.0,,,,,2.0,,,,,,,,,,,,,,,,,,pythran,python-pythran, +230,ArcGIS API,Esri/arcgis-python-api,geospatial-data,,https://github.com/Esri/arcgis-python-api,https://github.com/Esri/arcgis-python-api,Apache-2.0,2016-03-16 01:09:14.000,2023-11-30 22:01:46.000000,2023-11-27 18:39:08,4133.0,103.0,1075.0,155.0,1081.0,45.0,603.0,1680.0,Documentation and samples for ArcGIS API for Python.,89.0,32,True,2023-10-03 15:37:18.000,2.2.0,39.0,arcgis,,esridocker/arcgis-api-python-notebook,,,36.0,3.0,https://pypi.org/project/arcgis,2023-10-18 17:19:02.000,33.0,99535.0,99648.0,,,,https://hub.docker.com/r/esridocker/arcgis-api-python-notebook,,,,3.0,9916.0,,,,,,,,,,,,,,,,,,, +231,evaluate,huggingface/evaluate,interpretability,,https://github.com/huggingface/evaluate,https://github.com/huggingface/evaluate,Apache-2.0,2022-03-30 15:08:26.000,2023-12-01 17:23:00.000000,2023-11-02 14:07:02,936.0,5.0,185.0,49.0,298.0,127.0,121.0,1619.0,Evaluate: A library for easily evaluating machine learning models and datasets.,123.0,32,True,2023-10-13 15:57:18.000,0.4.1,14.0,evaluate,,,,,5369.0,5224.0,https://pypi.org/project/evaluate,2023-10-13 15:54:47.000,145.0,1680443.0,1680443.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +232,ViZDoom,mwydmuch/ViZDoom,reinforcement-learning,,https://github.com/Farama-Foundation/ViZDoom,https://github.com/Farama-Foundation/ViZDoom,MIT,2015-06-26 18:38:23.000,2023-11-25 00:59:29.000000,2023-11-05 02:37:05,1765.0,55.0,365.0,51.0,113.0,41.0,417.0,1608.0,Reinforcement Learning environments based on the 1993 game Doom.,53.0,32,True,2023-09-27 21:19:28.000,1.2.2,28.0,vizdoom,,,,,229.0,213.0,https://pypi.org/project/vizdoom,2023-09-27 21:19:28.000,16.0,14590.0,14716.0,,,,,,,,1.0,11776.0,,,Farama-Foundation/ViZDoom,,,,,,,,,,,,,,,, +233,Geocoder,DenisCarriere/geocoder,geospatial-data,,https://github.com/DenisCarriere/geocoder,https://github.com/DenisCarriere/geocoder,MIT,2014-01-13 04:19:21.000,2023-11-20 21:01:48.000000,2018-10-12 15:53:05,1251.0,,282.0,51.0,157.0,104.0,218.0,1564.0,Python Geocoder.,73.0,32,False,2021-12-15 15:58:16.110,1.1.4,110.0,geocoder,conda-forge/geocoder,,,,8955.0,8426.0,https://pypi.org/project/geocoder,2021-12-15 15:58:16.110,529.0,413375.0,415022.0,https://anaconda.org/conda-forge/geocoder,2023-06-16 13:21:27.128,135129.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,geocoder +234,patsy,pydata/patsy,probabilistics,,https://github.com/pydata/patsy,https://github.com/pydata/patsy,BSD-2-Clause,2012-07-10 12:30:06.000,2023-12-01 15:23:33.553000,2023-11-30 20:24:10,549.0,5.0,105.0,32.0,55.0,71.0,76.0,905.0,Describing statistical models in Python using symbolic formulas.,17.0,32,True,2023-11-30 20:39:52.000,0.5.4,11.0,patsy,conda-forge/patsy,,,,87136.0,84396.0,https://pypi.org/project/patsy,2023-11-30 20:39:52.000,2740.0,10374476.0,10723306.0,https://anaconda.org/conda-forge/patsy,2023-12-01 15:23:33.553,9418416.0,,,,,2.0,,2.0,,,,,,,,,,,,,,,,,, +235,tinygrad,geohot/tinygrad,pytorch-utils,,https://github.com/tinygrad/tinygrad,https://github.com/tinygrad/tinygrad,MIT,2020-10-18 16:23:12.000,2023-12-07 14:41:09.000000,2023-12-07 02:57:04,3019.0,558.0,2260.0,262.0,2180.0,76.0,355.0,21187.0,You like pytorch? You like micrograd? You love tinygrad!.,251.0,31,True,2023-08-27 16:40:37.000,0.7.0,4.0,,,,,['pytorch'],34.0,34.0,,,,,,,,,,,,,1.0,,,,tinygrad/tinygrad,,,,,,,,,,,,,,,, +236,ParlAI,facebookresearch/ParlAI,nlp,,https://github.com/facebookresearch/ParlAI,https://github.com/facebookresearch/ParlAI,MIT,2017-04-24 17:10:44.000,2023-11-03 14:30:00.000000,2023-11-03 14:30:00,4358.0,9.0,2060.0,287.0,3401.0,54.0,1494.0,10372.0,A framework for training and evaluating AI models on a variety of openly available dialogue datasets.,217.0,31,True,2023-06-06 20:46:16.091,1.7.2,25.0,parlai,,,,['pytorch'],26.0,21.0,https://pypi.org/project/parlai,2022-09-20 02:56:01.305,5.0,2596.0,2596.0,,,,,,,,2.0,,-2.0,,,,,,,,,,,,,,,,,, +237,Sonnet,deepmind/sonnet,ml-frameworks,,https://github.com/google-deepmind/sonnet,https://github.com/google-deepmind/sonnet,Apache-2.0,2017-04-03 11:34:35.000,2023-07-21 09:09:23.000000,2023-07-21 09:09:17,859.0,,1358.0,419.0,82.0,34.0,158.0,9641.0,TensorFlow-based neural network library.,58.0,31,True,2022-12-15 16:54:01.069,2.0.1,28.0,dm-sonnet,conda-forge/sonnet,,,['tensorflow'],1239.0,1186.0,https://pypi.org/project/dm-sonnet,2022-12-15 16:54:01.069,53.0,17506.0,18046.0,https://anaconda.org/conda-forge/sonnet,2023-06-16 16:19:12.602,26473.0,,,,,3.0,,,,google-deepmind/sonnet,,,,,,,,,,,,,,,, +238,AutoKeras,keras-team/autokeras,hyperopt,,https://github.com/keras-team/autokeras,https://github.com/keras-team/autokeras,Apache-2.0,2017-11-19 23:18:20.000,2023-10-02 22:40:56.000000,2023-10-02 22:40:55,1387.0,2.0,1406.0,303.0,889.0,129.0,758.0,8996.0,AutoML library for deep learning.,143.0,31,True,2023-01-28 18:46:30.271,1.1.0,58.0,autokeras,,,,['tensorflow'],620.0,608.0,https://pypi.org/project/autokeras,2023-01-28 18:46:30.271,12.0,14420.0,14661.0,,,,,,,,2.0,17622.0,,,,,,,,,,,,,,,,,,, +239,auto-sklearn,automl/auto-sklearn,hyperopt,,https://github.com/automl/auto-sklearn,https://github.com/automl/auto-sklearn,BSD-3-Clause,2015-07-02 15:38:10.000,2023-12-07 10:00:26.000000,2023-04-18 11:08:13,2759.0,,1239.0,215.0,707.0,176.0,827.0,7235.0,Automated Machine Learning with scikit-learn.,88.0,31,True,2023-02-13 12:35:21.000,0.15.0,42.0,auto-sklearn,conda-forge/auto-sklearn,,,['sklearn'],561.0,522.0,https://pypi.org/project/auto-sklearn,2022-09-20 10:32:07.471,39.0,18429.0,19065.0,https://anaconda.org/conda-forge/auto-sklearn,2023-06-16 19:25:30.278,20359.0,,,,,2.0,51.0,,,,,,,,,,,,,,,,,,, +240,Bayesian Optimization,fmfn/BayesianOptimization,hyperopt,,https://github.com/bayesian-optimization/BayesianOptimization,https://github.com/bayesian-optimization/BayesianOptimization,MIT,2014-06-06 08:18:56.000,2023-12-07 06:49:33.000000,2023-07-14 06:46:40,354.0,,1455.0,135.0,126.0,12.0,312.0,7153.0,A Python implementation of global optimization with gaussian processes.,41.0,31,True,2023-04-25 22:00:01.831,1.4.3,14.0,bayesian-optimization,,,,,2347.0,2232.0,https://pypi.org/project/bayesian-optimization,2023-04-25 22:00:01.831,115.0,235266.0,235267.0,,,,,,,,2.0,139.0,,,bayesian-optimization/BayesianOptimization,,,,,,,,,,,,,,,, +241,Perspective,finos/perspective,data-viz,,https://github.com/finos/perspective,https://github.com/finos/perspective,Apache-2.0,2017-11-02 16:27:54.000,2023-12-06 19:24:50.000000,2023-12-03 02:03:03,5848.0,114.0,887.0,112.0,1578.0,92.0,611.0,6990.0,"A data visualization and analytics component, especially well-suited for large and/or streaming datasets.",93.0,31,True,2023-11-29 21:48:30.000,2.7.1,117.0,perspective-python,conda-forge/perspective,,,['jupyter'],119.0,102.0,https://pypi.org/project/perspective-python,2023-11-29 16:47:42.000,14.0,5906.0,18731.0,https://anaconda.org/conda-forge/perspective,2023-12-04 04:58:10.833,488522.0,,,,,2.0,1725.0,,,,@finos/perspective-jupyterlab,https://www.npmjs.com/package/@finos/perspective-jupyterlab,2023-11-29 16:47:08.922,3.0,849.0,,,,,,,,,,, +242,Darts,unit8co/darts,time-series-data,,https://github.com/unit8co/darts,https://github.com/unit8co/darts,Apache-2.0,2018-09-13 15:17:28.000,2023-12-04 17:43:21.000000,2023-12-01 12:30:59,1115.0,39.0,740.0,60.0,877.0,233.0,1003.0,6735.0,A python library for user-friendly forecasting and anomaly detection on time series.,107.0,31,True,2023-11-18 19:21:16.000,0.27.0,38.0,u8darts,conda-forge/u8darts-all,unit8/darts,,,450.0,445.0,https://pypi.org/project/u8darts,2023-11-18 19:21:16.000,5.0,14442.0,15765.0,https://anaconda.org/conda-forge/u8darts-all,2023-11-19 13:41:46.609,38183.0,https://hub.docker.com/r/unit8/darts,2023-11-18 18:26:45.840205,,452.0,2.0,,,,,,,,,,,,,,,,,,,, +243,kaggle,Kaggle/kaggle-api,ml-experiments,,https://github.com/Kaggle/kaggle-api,https://github.com/Kaggle/kaggle-api,Apache-2.0,2018-01-25 03:02:39.000,2023-10-28 21:21:00.000000,2023-07-17 16:59:29,152.0,,1015.0,199.0,93.0,140.0,282.0,5683.0,Official Kaggle API.,37.0,31,True,2023-07-17 17:06:58.000,1.5.16,59.0,kaggle,conda-forge/kaggle,,,,399.0,21.0,https://pypi.org/project/kaggle,2023-09-19 19:12:15.000,378.0,188722.0,192333.0,https://anaconda.org/conda-forge/kaggle,2023-07-18 03:35:17.292,140833.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +244,skorch,skorch-dev/skorch,ml-frameworks,,https://github.com/skorch-dev/skorch,https://github.com/skorch-dev/skorch,BSD-3-Clause,2017-07-18 00:13:54.000,2023-11-29 15:21:27.000000,2023-11-29 15:21:27,1080.0,5.0,360.0,82.0,521.0,50.0,450.0,5427.0,A scikit-learn compatible neural network library that wraps PyTorch.,61.0,31,True,2023-09-04 10:10:59.000,0.15.0,19.0,skorch,conda-forge/skorch,,,"['pytorch', 'sklearn']",1088.0,1036.0,https://pypi.org/project/skorch,2023-09-04 09:59:43.000,52.0,58066.0,77999.0,https://anaconda.org/conda-forge/skorch,2023-09-06 08:43:59.780,777402.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +245,imutils,PyImageSearch/imutils,image,,https://github.com/PyImageSearch/imutils,https://github.com/PyImageSearch/imutils,MIT,2015-01-11 20:05:39.000,2023-11-12 21:40:25.000000,2022-01-27 13:24:16,139.0,,1006.0,154.0,113.0,150.0,79.0,4420.0,"A series of convenience functions to make basic image processing operations such as translation, rotation, resizing,..",21.0,31,False,2021-01-15 10:53:17.000,0.5.4,29.0,imutils,conda-forge/imutils,,,,39840.0,38995.0,https://pypi.org/project/imutils,2021-01-15 10:53:17.000,845.0,405174.0,408888.0,https://anaconda.org/conda-forge/imutils,2023-10-27 09:12:56.985,152301.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +246,D-Tale,man-group/dtale,data-viz,,https://github.com/man-group/dtale,https://github.com/man-group/dtale,LGPL-2.1,2019-07-15 09:34:48.000,2023-12-01 05:25:05.000000,2023-11-29 14:09:54,774.0,34.0,368.0,72.0,278.0,54.0,498.0,4362.0,Visualizer for pandas data structures.,30.0,31,True,2023-11-29 14:48:32.000,3.8.1,178.0,dtale,conda-forge/dtale,,,"['pandas', 'jupyter']",973.0,950.0,https://pypi.org/project/dtale,2023-11-29 14:48:32.000,23.0,127161.0,133175.0,https://anaconda.org/conda-forge/dtale,2023-11-29 15:12:38.018,258622.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +247,ta,bukosabino/ta,financial-data,,https://github.com/bukosabino/ta,https://github.com/bukosabino/ta,MIT,2018-01-02 18:08:48.000,2023-11-05 18:03:02.000000,2023-11-02 13:49:44,662.0,35.0,822.0,146.0,125.0,124.0,104.0,3841.0,Technical Analysis Library using Pandas and Numpy.,34.0,31,True,2023-11-02 13:53:35.000,0.11.0,56.0,ta,conda-forge/ta,,,,2802.0,2756.0,https://pypi.org/project/ta,2023-11-02 13:53:35.000,46.0,71165.0,71798.0,https://anaconda.org/conda-forge/ta,2023-11-02 22:03:30.766,21541.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +248,nevergrad,facebookresearch/nevergrad,hyperopt,,https://github.com/facebookresearch/nevergrad,https://github.com/facebookresearch/nevergrad,MIT,2018-11-21 00:33:17.000,2023-12-07 08:21:48.000000,2023-12-07 08:10:18,1077.0,20.0,345.0,60.0,1332.0,122.0,172.0,3750.0,A Python toolbox for performing gradient-free optimization.,51.0,31,True,2023-11-19 06:44:47.000,1.0.1,46.0,nevergrad,conda-forge/nevergrad,,,,609.0,579.0,https://pypi.org/project/nevergrad,2023-11-19 06:44:47.000,30.0,79989.0,81018.0,https://anaconda.org/conda-forge/nevergrad,2023-09-21 13:51:23.949,44276.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +249,gpustat,wookayin/gpustat,gpu-utilities,,https://github.com/wookayin/gpustat,https://github.com/wookayin/gpustat,MIT,2016-04-24 10:46:43.000,2023-11-24 07:56:25.000000,2023-11-24 07:54:37,246.0,8.0,267.0,46.0,50.0,26.0,93.0,3668.0,A simple command-line utility for querying and monitoring GPU status.,17.0,31,True,2023-08-22 19:40:33.000,1.1.1,15.0,gpustat,conda-forge/gpustat,,,,4520.0,4388.0,https://pypi.org/project/gpustat,2023-08-22 19:39:06.000,132.0,1038042.0,1045426.0,https://anaconda.org/conda-forge/gpustat,2023-08-23 10:35:25.821,273209.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +250,NeuralProphet,ourownstory/neural_prophet,time-series-data,,https://github.com/ourownstory/neural_prophet,https://github.com/ourownstory/neural_prophet,MIT,2020-05-04 05:12:43.000,2023-12-07 00:08:39.000000,2023-11-28 18:04:16,1392.0,37.0,439.0,52.0,739.0,44.0,455.0,3436.0,NeuralProphet: A simple forecasting package.,50.0,31,True,2023-06-14 22:41:07.000,0.6.2,27.0,neuralprophet,,,,['pytorch'],346.0,343.0,https://pypi.org/project/neuralprophet,2023-09-19 18:17:10.000,3.0,66670.0,66670.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +251,dyNET,clab/dynet,ml-frameworks,,https://github.com/clab/dynet,https://github.com/clab/dynet,Apache-2.0,2015-02-08 23:09:21.000,2023-12-01 17:10:01.000000,2023-11-08 12:40:01,3273.0,1.0,703.0,185.0,737.0,262.0,669.0,3399.0,DyNet: The Dynamic Neural Network Toolkit.,160.0,31,True,2020-10-21 14:31:01.000,2.1.2,24.0,dyNET,,,,,280.0,251.0,https://pypi.org/project/dyNET,2020-10-21 14:31:01.000,29.0,291091.0,291253.0,,,,,,,,3.0,13940.0,,,,,,,,,,,,,,,,,,, +252,implicit,benfred/implicit,recommender-systems,,https://github.com/benfred/implicit,https://github.com/benfred/implicit,MIT,2016-04-17 03:45:23.000,2023-11-21 21:16:03.000000,2023-11-21 21:15:59,435.0,7.0,602.0,78.0,227.0,76.0,403.0,3332.0,Fast Python Collaborative Filtering for Implicit Feedback Datasets.,34.0,31,True,2023-09-29 21:07:11.000,0.7.2,47.0,implicit,conda-forge/implicit,,,,1217.0,1178.0,https://pypi.org/project/implicit,2023-09-29 21:07:11.000,39.0,224126.0,238302.0,https://anaconda.org/conda-forge/implicit,2023-11-21 19:59:55.425,551799.0,,,,,1.0,663.0,,,,,,,,,,,,,,,,,,, +253,NMSLIB,nmslib/nmslib,nn-search,,https://github.com/nmslib/nmslib,https://github.com/nmslib/nmslib,Apache-2.0,2013-07-10 11:06:06.000,2023-11-13 09:43:52.000000,2022-05-31 03:18:45,1556.0,,425.0,92.0,122.0,71.0,348.0,3188.0,Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods..,47.0,31,False,2021-02-03 16:40:09.000,2.1.1,32.0,nmslib,conda-forge/nmslib,,,,1053.0,994.0,https://pypi.org/project/nmslib,2021-02-03 00:02:08.000,59.0,216670.0,219355.0,https://anaconda.org/conda-forge/nmslib,2023-09-26 10:22:21.295,102063.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +254,ImageHash,JohannesBuchner/imagehash,image,,https://github.com/JohannesBuchner/imagehash,https://github.com/JohannesBuchner/imagehash,BSD-2-Clause,2013-03-02 23:32:48.000,2023-10-24 18:29:08.000000,2023-10-24 18:29:08,333.0,5.0,322.0,66.0,75.0,9.0,119.0,2903.0,A Python Perceptual Image Hashing Module.,26.0,31,True,2022-09-28 08:48:24.658,4.3.1,20.0,ImageHash,conda-forge/imagehash,,,,11736.0,11354.0,https://pypi.org/project/ImageHash,2022-09-28 08:48:24.658,382.0,1363606.0,1367709.0,https://anaconda.org/conda-forge/imagehash,2023-06-16 13:23:10.041,348764.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +255,STUMPY,TDAmeritrade/stumpy,time-series-data,,https://github.com/TDAmeritrade/stumpy,https://github.com/TDAmeritrade/stumpy,BSD-3-Clause,2019-05-03 19:23:44.000,2023-11-29 03:57:24.000000,2023-11-20 19:22:47,1273.0,4.0,269.0,53.0,213.0,51.0,404.0,2834.0,STUMPY is a powerful and scalable Python library for modern time series analysis.,35.0,31,True,2023-08-21 11:33:22.000,1.12.0,28.0,stumpy,conda-forge/stumpy,,,,601.0,585.0,https://pypi.org/project/stumpy,2023-08-21 11:33:22.000,16.0,186790.0,209484.0,https://anaconda.org/conda-forge/stumpy,2023-08-21 11:50:40.587,953178.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +256,lightly,lightly-ai/lightly,image,,https://github.com/lightly-ai/lightly,https://github.com/lightly-ai/lightly,MIT,2020-10-13 13:02:56.000,2023-12-07 09:54:01.000000,2023-12-06 09:41:19,1124.0,35.0,227.0,26.0,962.0,97.0,385.0,2603.0,A python library for self-supervised learning on images.,34.0,31,True,2023-11-28 16:27:49.000,1.4.23,110.0,lightly,,,,['pytorch'],195.0,189.0,https://pypi.org/project/lightly,2023-11-28 16:45:49.000,6.0,28564.0,28564.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +257,pgmpy,pgmpy/pgmpy,probabilistics,,https://github.com/pgmpy/pgmpy,https://github.com/pgmpy/pgmpy,MIT,2013-09-20 08:18:58.000,2023-11-03 18:31:10.000000,2023-11-03 18:30:51,2922.0,26.0,687.0,79.0,846.0,257.0,620.0,2528.0,"Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in..",120.0,31,True,2023-10-16 21:49:45.000,0.1.24,24.0,pgmpy,,,,,823.0,791.0,https://pypi.org/project/pgmpy,2023-10-16 20:46:07.000,32.0,58696.0,58703.0,,,,,,,,2.0,303.0,,,,,,,,,,,,,,,,,,, +258,doctr,mindee/doctr,image,,https://github.com/mindee/doctr,https://github.com/mindee/doctr,Apache-2.0,2021-01-08 16:05:12.000,2023-12-04 18:22:01.000000,2023-11-27 15:01:44,784.0,38.0,292.0,36.0,857.0,40.0,243.0,2388.0,"docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by..",41.0,31,True,2023-09-09 13:24:13.000,0.7.0,13.0,python-doctr,,,,"['tensorflow', 'pytorch']",222.0,219.0,https://pypi.org/project/python-doctr,2023-09-09 13:24:13.000,3.0,15695.0,77505.0,,,,,,,,2.0,2101561.0,,,,,,,,,,,,,,,,,,, +259,bt,pmorissette/bt,financial-data,,https://github.com/pmorissette/bt,https://github.com/pmorissette/bt,MIT,2014-06-19 16:06:28.000,2023-12-01 18:58:31.000000,2023-12-01 18:58:31,515.0,13.0,433.0,85.0,99.0,82.0,257.0,1851.0,bt - flexible backtesting for Python.,31.0,31,True,2023-11-20 03:03:12.000,1.0.0,26.0,bt,conda-forge/bt,,,,1605.0,1577.0,https://pypi.org/project/bt,2023-11-20 03:03:12.000,28.0,8837.0,9445.0,https://anaconda.org/conda-forge/bt,2023-11-20 16:37:06.276,19477.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +260,TF Model Optimization,tensorflow/model-optimization,tensorflow-utils,,https://github.com/tensorflow/model-optimization,https://github.com/tensorflow/model-optimization,Apache-2.0,2018-10-31 20:34:28.000,2023-11-17 01:39:58.000000,2023-11-17 01:39:50,817.0,5.0,320.0,121.0,767.0,205.0,164.0,1442.0,"A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.",83.0,31,True,2023-05-26 02:36:01.000,0.7.5,30.0,tensorflow-model-optimization,,,,['tensorflow'],3363.0,3333.0,https://pypi.org/project/tensorflow-model-optimization,2023-05-26 02:35:42.850,30.0,584553.0,584553.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +261,emcee,dfm/emcee,probabilistics,,https://github.com/dfm/emcee,https://github.com/dfm/emcee,MIT,2011-11-07 16:17:08.000,2023-12-03 18:11:06.000000,2023-12-03 18:11:03,930.0,13.0,427.0,87.0,210.0,49.0,235.0,1384.0,The Python ensemble sampling toolkit for affine-invariant MCMC.,73.0,31,True,2023-02-02 20:53:47.943,3.1.0,24.0,emcee,conda-forge/emcee,,,,2523.0,2163.0,https://pypi.org/project/emcee,2023-02-02 20:53:47.943,360.0,110946.0,114427.0,https://anaconda.org/conda-forge/emcee,2023-06-16 13:16:26.628,316857.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +262,spacy-transformers,explosion/spacy-transformers,nlp,,https://github.com/explosion/spacy-transformers,https://github.com/explosion/spacy-transformers,MIT,2019-07-26 19:12:34.000,2023-12-04 13:48:51.000000,2023-12-04 13:48:51,1470.0,10.0,160.0,32.0,243.0,1.0,,1299.0,"Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy.",22.0,31,True,2023-11-08 10:45:18.000,1.3.3,75.0,spacy-transformers,conda-forge/spacy-transformers,,,['spacy'],1423.0,1380.0,https://pypi.org/project/spacy-transformers,2023-11-08 10:39:17.000,43.0,243210.0,244215.0,https://anaconda.org/conda-forge/spacy-transformers,2023-11-09 12:24:29.392,25134.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +263,arch,bashtage/arch,financial-data,,https://github.com/bashtage/arch,https://github.com/bashtage/arch,,2014-08-29 15:41:28.000,2023-12-06 14:55:34.000000,2023-10-16 10:24:24,1106.0,27.0,268.0,43.0,500.0,31.0,181.0,1190.0,ARCH models in Python.,35.0,31,False,2023-09-26 15:06:52.000,6.2.0,45.0,arch,conda-forge/arch-py,,,,1356.0,1287.0,https://pypi.org/project/arch,2023-09-26 15:06:52.000,69.0,285166.0,291637.0,https://anaconda.org/conda-forge/arch-py,2023-10-06 06:11:20.798,271822.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +264,pyopencl,inducer/pyopencl,others,,https://github.com/inducer/pyopencl,https://github.com/inducer/pyopencl,MIT,2011-04-06 02:51:33.000,2023-11-27 21:23:35.000000,2023-11-27 21:23:34,3273.0,9.0,242.0,48.0,349.0,72.0,262.0,1000.0,"OpenCL integration for Python, plus shiny features.",95.0,31,True,2023-10-12 23:06:24.000,2023.1.4,94.0,pyopencl,conda-forge/pyopencl,,,,1931.0,1725.0,https://pypi.org/project/pyopencl,2023-10-12 23:06:24.000,206.0,73874.0,96870.0,https://anaconda.org/conda-forge/pyopencl,2023-10-13 14:22:03.075,965843.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +265,Satpy,pytroll/satpy,geospatial-data,,https://github.com/pytroll/satpy,https://github.com/pytroll/satpy,GPL-3.0,2016-02-09 20:29:43.000,2023-12-05 21:51:16.000000,2023-12-05 21:51:16,12740.0,440.0,275.0,34.0,1698.0,448.0,602.0,973.0,Python package for earth-observing satellite data processing.,148.0,31,False,2023-11-29 07:10:55.000,0.45.0,91.0,satpy,conda-forge/satpy,,,,132.0,115.0,https://pypi.org/project/satpy,2023-11-29 07:10:55.000,17.0,8097.0,12298.0,https://anaconda.org/conda-forge/satpy,2023-11-29 12:39:53.831,176460.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +266,TensorFlow Transform,tensorflow/transform,tensorflow-utils,,https://github.com/tensorflow/transform,https://github.com/tensorflow/transform,Apache-2.0,2017-02-10 00:36:53.000,2023-12-06 19:46:14.000000,2023-12-06 19:46:12,919.0,7.0,214.0,59.0,98.0,45.0,173.0,972.0,Input pipeline framework.,27.0,31,True,2023-08-11 23:14:04.000,1.14.0,56.0,tensorflow-transform,,,,['tensorflow'],1606.0,1550.0,https://pypi.org/project/tensorflow-transform,2023-08-11 23:14:04.000,56.0,743700.0,743700.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +267,geojson,jazzband/geojson,geospatial-data,,https://github.com/jazzband/geojson,https://github.com/jazzband/geojson,BSD-3-Clause,2011-07-01 20:39:48.000,2023-11-06 11:21:40.354000,2023-11-06 00:17:47,493.0,8.0,121.0,31.0,126.0,26.0,74.0,847.0,Python bindings and utilities for GeoJSON.,56.0,31,True,2023-11-05 21:06:50.000,3.1.0,31.0,geojson,conda-forge/geojson,,,,17226.0,15966.0,https://pypi.org/project/geojson,2023-11-05 21:06:50.000,1260.0,1469560.0,1546580.0,https://anaconda.org/conda-forge/geojson,2023-11-06 11:21:40.354,770205.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +268,hvPlot,holoviz/hvplot,data-viz,,https://github.com/holoviz/hvplot,https://github.com/holoviz/hvplot,BSD-3-Clause,2018-03-19 14:22:41.000,2023-11-22 12:44:09.000000,2023-11-14 18:42:42,626.0,42.0,88.0,23.0,474.0,296.0,387.0,826.0,"A high-level plotting API for pandas, dask, xarray, and networkx built on HoloViews.",44.0,31,True,2023-10-17 08:55:43.000,0.9.0,60.0,hvplot,conda-forge/hvplot,,,,4144.0,4047.0,https://pypi.org/project/hvplot,2023-10-16 15:05:47.000,97.0,122189.0,134219.0,https://anaconda.org/conda-forge/hvplot,2023-10-16 18:32:23.923,505265.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +269,tensorflow-upstream,ROCmSoftwarePlatform/tensorflow-upstream,ml-frameworks,,https://github.com/ROCmSoftwarePlatform/tensorflow-upstream,https://github.com/ROCmSoftwarePlatform/tensorflow-upstream,Apache-2.0,2018-04-09 21:24:50.000,2023-12-07 04:07:46.000000,2023-12-01 00:56:11,160854.0,3045.0,83.0,51.0,1965.0,106.0,279.0,666.0,TensorFlow ROCm port.,4524.0,31,True,2022-12-06 16:42:53.965,2.9.4,97.0,tensorflow-rocm,,,,['tensorflow'],5.0,,https://pypi.org/project/tensorflow-rocm,2023-10-04 19:01:50.000,5.0,4307.0,4307.0,,,,,,,,3.0,21.0,,,,,,,,,,,,,,,,,,, +270,audioread,beetbox/audioread,audio,,https://github.com/beetbox/audioread,https://github.com/beetbox/audioread,MIT,2011-11-08 19:53:18.000,2023-12-02 18:57:24.000000,2023-12-02 18:57:12,280.0,3.0,107.0,24.0,51.0,35.0,55.0,455.0,cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio decoding for Python.,25.0,31,True,2023-09-27 19:27:51.000,3.0.1,27.0,audioread,conda-forge/audioread,,,,17172.0,16810.0,https://pypi.org/project/audioread,2023-09-27 19:27:51.000,362.0,1682447.0,1701629.0,https://anaconda.org/conda-forge/audioread,2023-09-30 21:07:31.348,728932.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +271,Neptune.ai,neptune-ai/neptune-client,ml-experiments,,https://github.com/neptune-ai/neptune-client,https://github.com/neptune-ai/neptune-client,Apache-2.0,2019-02-11 11:25:57.000,2023-12-07 10:20:33.000000,2023-12-07 08:56:43,1840.0,205.0,52.0,16.0,1365.0,33.0,198.0,427.0,The MLOps stack component for experiment tracking.,52.0,31,True,2023-12-04 11:00:03.000,1.8.6,197.0,neptune-client,conda-forge/neptune-client,,,,49.0,,https://pypi.org/project/neptune-client,2023-12-07 09:56:42.000,49.0,541555.0,546753.0,https://anaconda.org/conda-forge/neptune-client,2023-12-04 13:15:00.892,223552.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +272,CNTK,microsoft/CNTK,ml-frameworks,,https://github.com/microsoft/CNTK,https://github.com/microsoft/CNTK,MIT,2015-11-26 09:52:06.000,2023-03-11 07:31:35.000000,2022-09-23 14:06:50,16117.0,,4382.0,1259.0,557.0,836.0,2543.0,17420.0,"Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit.",274.0,30,False,2019-04-26 14:13:32.000,2.7,32.0,cntk,,,,,21.0,2.0,https://pypi.org/project/cntk,2020-12-09 22:21:57.000,19.0,365.0,515.0,,,,,,,,3.0,14322.0,,,,,,,,,,,,,,,,,,, +273,vit-pytorch,lucidrains/vit-pytorch,image,,https://github.com/lucidrains/vit-pytorch,https://github.com/lucidrains/vit-pytorch,MIT,2020-10-03 22:47:24.000,2023-11-28 15:27:10.000000,2023-11-15 00:55:36,301.0,15.0,2553.0,136.0,44.0,112.0,129.0,16116.0,"Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single..",20.0,30,True,2023-11-15 00:56:24.000,1.6.4,184.0,vit-pytorch,,,,['pytorch'],375.0,369.0,https://pypi.org/project/vit-pytorch,2023-11-15 00:56:24.000,6.0,26030.0,26030.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +274,baselines,openai/baselines,reinforcement-learning,,https://github.com/openai/baselines,https://github.com/openai/baselines,MIT,2017-05-24 01:58:13.000,2023-11-21 01:05:50.000000,2020-01-31 13:06:18,347.0,,4769.0,647.0,372.0,495.0,435.0,14984.0,OpenAI Baselines: high-quality implementations of reinforcement learning algorithms.,115.0,30,False,2018-02-26 17:07:07.000,0.1.5,6.0,baselines,,,,,576.0,537.0,https://pypi.org/project/baselines,2018-02-26 17:07:07.000,39.0,1443.0,1443.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +275,Qlib,microsoft/qlib,financial-data,,https://github.com/microsoft/qlib,https://github.com/microsoft/qlib,MIT,2020-08-14 06:46:00.000,2023-11-28 10:38:26.000000,2023-11-21 12:31:47,1957.0,6.0,2197.0,271.0,883.0,226.0,659.0,12998.0,"Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and..",122.0,30,True,2023-07-18 11:35:09.110,0.9.3,32.0,pyqlib,,,,['pytorch'],22.0,21.0,https://pypi.org/project/pyqlib,2023-07-18 11:35:09.110,1.0,1690.0,1700.0,,,,,,,,2.0,392.0,,,,,,,,,,,,,,,,,,, +276,pandas-ai,gventuri/pandas-ai,others,,https://github.com/gventuri/pandas-ai,https://github.com/gventuri/pandas-ai,MIT,2023-04-22 12:58:01.000,2023-12-07 09:34:22.000000,2023-11-30 17:46:12,656.0,222.0,763.0,83.0,292.0,150.0,254.0,9198.0,"PandasAI is the Python library that integrates Gen AI into pandas, making data analysis conversational.",55.0,30,True,2023-11-30 17:48:45.000,1.5.5,95.0,pandas-ai,,,,,2417.0,2417.0,https://pypi.org/project/pandas-ai,,,,,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +277,FinRL,AI4Finance-Foundation/FinRL,reinforcement-learning,,https://github.com/AI4Finance-Foundation/FinRL,https://github.com/AI4Finance-Foundation/FinRL,MIT,2020-07-26 13:18:16.000,2023-12-06 02:18:40.000000,2023-12-06 02:18:37,2868.0,25.0,2022.0,190.0,398.0,180.0,471.0,8428.0,FinRL: Financial Reinforcement Learning.,107.0,30,True,2023-02-07 13:58:00.815,0.3.6,8.0,finrl,,,,,26.0,26.0,https://pypi.org/project/finrl,2022-01-08 13:58:14.000,,1454.0,1454.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +278,imageai,OlafenwaMoses/ImageAI,image,,https://github.com/OlafenwaMoses/ImageAI,https://github.com/OlafenwaMoses/ImageAI,MIT,2018-03-19 23:12:33.000,2023-09-25 05:14:24.000000,2023-08-26 12:04:19,383.0,,2099.0,286.0,96.0,295.0,446.0,8171.0,A python library built to empower developers to build applications and systems with self-contained Computer Vision..,19.0,30,True,2023-01-02 17:10:24.749,3.0.3,13.0,imageai,conda-forge/imageai,,,,1518.0,1500.0,https://pypi.org/project/imageai,2023-01-02 17:10:24.749,18.0,8251.0,21589.0,https://anaconda.org/conda-forge/imageai,2023-06-16 19:21:01.568,6699.0,,,,,2.0,895906.0,,,,,,,,,,,,,,,,,,, +279,PyTorch3D,facebookresearch/pytorch3d,image,,https://github.com/facebookresearch/pytorch3d,https://github.com/facebookresearch/pytorch3d,,2019-10-25 02:23:45.000,2023-12-07 11:13:11.000000,2023-12-07 11:07:41,1123.0,21.0,1182.0,145.0,156.0,219.0,1206.0,7888.0,PyTorch3D is FAIRs library of reusable components for deep learning with 3D data.,129.0,30,False,2023-10-31 20:06:30.000,0.7.5,17.0,pytorch3d,pytorch3d/pytorch3d,,,['pytorch'],657.0,646.0,https://pypi.org/project/pytorch3d,2022-04-28 15:53:26.000,11.0,3806.0,7290.0,https://anaconda.org/pytorch3d/pytorch3d,2023-10-31 20:03:11.190,170727.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +280,tsfresh,blue-yonder/tsfresh,time-series-data,,https://github.com/blue-yonder/tsfresh,https://github.com/blue-yonder/tsfresh,MIT,2016-10-26 11:29:17.000,2023-10-24 19:57:22.000000,2023-10-24 19:51:03,547.0,3.0,1163.0,166.0,427.0,58.0,469.0,7880.0,Automatic extraction of relevant features from time series:.,91.0,30,True,2023-06-14 21:34:06.791,0.20.1,30.0,tsfresh,conda-forge/tsfresh,,,['sklearn'],98.0,21.0,https://pypi.org/project/tsfresh,2023-06-14 21:34:06.791,77.0,185829.0,216675.0,https://anaconda.org/conda-forge/tsfresh,2023-07-30 07:29:21.371,1326396.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +281,Apex,NVIDIA/apex,gpu-utilities,,https://github.com/NVIDIA/apex,https://github.com/NVIDIA/apex,BSD-3-Clause,2018-04-23 16:28:52.000,2023-12-07 02:49:17.000000,2023-11-29 01:03:00,1156.0,21.0,1251.0,105.0,616.0,673.0,515.0,7728.0,A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch.,124.0,30,True,,,2.0,,conda-forge/nvidia-apex,,,['pytorch'],2131.0,2131.0,,,,,3551.0,https://anaconda.org/conda-forge/nvidia-apex,2023-06-16 16:18:35.589,177561.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +282,cleanlab,cleanlab/cleanlab,others,,https://github.com/cleanlab/cleanlab,https://github.com/cleanlab/cleanlab,AGPL-3.0,2018-05-11 01:55:21.000,2023-12-07 14:21:50.000000,2023-12-07 13:37:16,1479.0,31.0,577.0,74.0,592.0,79.0,200.0,7323.0,"The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.",41.0,30,False,2023-09-11 17:53:22.000,2.5.0,24.0,cleanlab,conda-forge/cleanlab,,,,219.0,211.0,https://pypi.org/project/cleanlab,2023-09-11 17:53:22.000,8.0,15301.0,15889.0,https://anaconda.org/conda-forge/cleanlab,2023-09-12 22:14:32.939,18830.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +283,Face Alignment,1adrianb/face-alignment,image,,https://github.com/1adrianb/face-alignment,https://github.com/1adrianb/face-alignment,BSD-3-Clause,2017-09-15 20:32:44.000,2023-10-24 07:07:43.000000,2023-08-16 23:55:56,220.0,,1303.0,174.0,46.0,75.0,236.0,6614.0,2D and 3D Face alignment library build using pytorch.,26.0,30,True,2023-08-17 14:43:11.000,1.4.1,14.0,face-alignment,,,,['pytorch'],32.0,21.0,https://pypi.org/project/face-alignment,2023-08-17 14:43:11.000,11.0,66169.0,66169.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +284,DoWhy,py-why/dowhy,interpretability,,https://github.com/py-why/dowhy,https://github.com/py-why/dowhy,MIT,2018-05-31 13:07:04.000,2023-12-06 22:38:35.000000,2023-12-06 21:23:12,964.0,51.0,881.0,137.0,642.0,125.0,301.0,6382.0,DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions...,82.0,30,True,2023-12-06 08:12:27.000,0.11,14.0,dowhy,conda-forge/dowhy,,,,317.0,310.0,https://pypi.org/project/dowhy,2023-12-06 08:30:18.000,7.0,36648.0,37137.0,https://anaconda.org/conda-forge/dowhy,2023-11-30 17:35:40.350,18106.0,,,,,2.0,33.0,,,,,,,,,,,,,,,,,,, +285,SynapseML,microsoft/SynapseML,distributed-ml,,https://github.com/microsoft/SynapseML,https://github.com/microsoft/SynapseML,MIT,2017-06-05 08:23:44.000,2023-12-07 02:12:41.000000,2023-12-05 18:31:50,1553.0,61.0,821.0,146.0,1449.0,326.0,397.0,4880.0,Simple and Distributed Machine Learning.,115.0,30,True,2023-11-27 22:05:20.000,1.0.2,42.0,synapseml,,,,,3.0,,https://pypi.org/project/synapseml,2023-11-27 22:05:20.000,3.0,361356.0,361356.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +286,causalml,uber/causalml,others,,https://github.com/uber/causalml,https://github.com/uber/causalml,Apache-2.0,2019-07-09 02:08:58.000,2023-12-05 18:57:33.000000,2023-12-01 20:07:22,575.0,18.0,704.0,81.0,316.0,87.0,309.0,4428.0,Uplift modeling and causal inference with machine learning algorithms.,59.0,30,True,2023-08-28 06:52:12.000,0.14.1,22.0,causalml,,,,,171.0,170.0,https://pypi.org/project/causalml,2023-08-28 06:52:12.000,1.0,77525.0,77525.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +287,aim,aimhubio/aim,ml-experiments,,https://github.com/aimhubio/aim,https://github.com/aimhubio/aim,Apache-2.0,2019-05-31 18:25:07.000,2023-12-06 20:17:47.000000,2023-10-18 11:57:02,2141.0,1.0,253.0,45.0,2093.0,304.0,645.0,4391.0,Aim An easy-to-use & supercharged open-source experiment tracker.,58.0,30,True,2023-10-04 15:24:14.000,4.0.3,829.0,aim,conda-forge/aim,,,,394.0,378.0,https://pypi.org/project/aim,2023-12-06 20:17:47.000,16.0,90193.0,91587.0,https://anaconda.org/conda-forge/aim,2023-06-16 19:26:46.894,40454.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +288,pandas-ta,twopirllc/pandas-ta,probabilistics,,https://github.com/twopirllc/pandas-ta,https://github.com/twopirllc/pandas-ta,MIT,2019-02-19 16:41:09.000,2023-12-02 02:32:24.000000,2022-09-24 16:20:26,585.0,,838.0,91.0,207.0,102.0,424.0,4235.0,Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 130+ Indicators.,45.0,30,False,2021-07-28 20:21:21.000,0.3.14,19.0,pandas-ta,conda-forge/pandas-ta,,,['pandas'],3508.0,3460.0,https://pypi.org/project/pandas-ta,2021-07-28 20:51:17.000,48.0,79865.0,80611.0,https://anaconda.org/conda-forge/pandas-ta,2023-06-16 19:27:34.124,19413.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +289,sacred,IDSIA/sacred,ml-experiments,,https://github.com/IDSIA/sacred,https://github.com/IDSIA/sacred,MIT,2014-03-31 18:05:29.000,2023-11-28 14:54:27.704000,2023-11-13 07:19:19,1344.0,2.0,375.0,71.0,366.0,97.0,460.0,4119.0,"Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.",105.0,30,True,2023-11-13 07:24:08.000,0.8.5,29.0,sacred,conda-forge/sacred,,,,2820.0,2710.0,https://pypi.org/project/sacred,2023-11-13 07:24:08.000,110.0,21981.0,22156.0,https://anaconda.org/conda-forge/sacred,2023-11-28 14:54:27.704,4376.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +290,GluonTS,awslabs/gluon-ts,time-series-data,,https://github.com/awslabs/gluonts,https://github.com/awslabs/gluonts,Apache-2.0,2019-05-15 17:17:29.000,2023-12-07 09:10:45.000000,2023-12-07 09:05:05,1435.0,29.0,752.0,74.0,1759.0,279.0,621.0,3935.0,Probabilistic time series modeling in Python.,110.0,30,True,2023-12-07 09:10:45.000,0.14.3,107.0,gluonts,anaconda/gluonts,,,['mxnet'],16.0,,https://pypi.org/project/gluonts,2023-12-07 09:10:45.000,16.0,318841.0,318865.0,https://anaconda.org/anaconda/gluonts,2023-06-23 14:26:58.411,647.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +291,Dedupe,dedupeio/dedupe,nlp,,https://github.com/dedupeio/dedupe,https://github.com/dedupeio/dedupe,MIT,2012-04-20 14:57:36.000,2023-11-08 21:47:53.000000,2023-02-17 16:34:52,3273.0,,522.0,121.0,362.0,75.0,728.0,3872.0,"A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution.",70.0,30,True,2023-02-17 16:58:05.493,2.0.23,174.0,dedupe,conda-forge/dedupe,,,,355.0,306.0,https://pypi.org/project/dedupe,2023-02-17 16:58:05.493,49.0,62660.0,64384.0,https://anaconda.org/conda-forge/dedupe,2023-06-16 19:28:08.623,41380.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +292,cuML,rapidsai/cuml,gpu-utilities,,https://github.com/rapidsai/cuml,https://github.com/rapidsai/cuml,Apache-2.0,2018-10-11 15:45:35.000,2023-12-07 05:02:06.000000,2023-12-06 20:36:06,15328.0,79.0,484.0,70.0,3358.0,796.0,1541.0,3692.0,cuML - RAPIDS Machine Learning Library.,166.0,30,True,2023-12-06 19:20:46.000,23.12.00,36.0,cuml,,,,,5.0,,https://pypi.org/project/cuml,2020-06-01 20:09:10.000,5.0,2468.0,2468.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +293,pytorch-forecasting,jdb78/pytorch-forecasting,time-series-data,,https://github.com/jdb78/pytorch-forecasting,https://github.com/jdb78/pytorch-forecasting,MIT,2020-07-03 13:05:24.000,2023-12-04 20:16:01.000000,2023-12-04 20:15:52,1724.0,133.0,531.0,41.0,754.0,429.0,281.0,3355.0,Time series forecasting with PyTorch.,43.0,30,True,2023-04-10 19:57:38.490,1.0.0,34.0,pytorch-forecasting,conda-forge/pytorch-forecasting,,,,10.0,,https://pypi.org/project/pytorch-forecasting,2020-07-26 21:35:43.000,10.0,59210.0,60560.0,https://anaconda.org/conda-forge/pytorch-forecasting,2023-06-16 19:21:40.268,52670.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +294,GPyTorch,cornellius-gp/gpytorch,probabilistics,,https://github.com/cornellius-gp/gpytorch,https://github.com/cornellius-gp/gpytorch,MIT,2017-06-09 14:48:20.000,2023-12-06 21:29:00.000000,2023-12-02 17:23:08,3825.0,5.0,504.0,58.0,874.0,320.0,964.0,3299.0,A highly efficient implementation of Gaussian Processes in PyTorch.,126.0,30,True,2023-06-02 22:04:02.000,1.11,38.0,gpytorch,conda-forge/gpytorch,,,['pytorch'],1790.0,1707.0,https://pypi.org/project/gpytorch,2023-06-02 22:13:00.914,83.0,191676.0,194916.0,https://anaconda.org/conda-forge/gpytorch,2023-08-11 22:34:06.614,139361.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +295,hmmlearn,hmmlearn/hmmlearn,probabilistics,,https://github.com/hmmlearn/hmmlearn,https://github.com/hmmlearn/hmmlearn,BSD-3-Clause,2014-03-23 10:33:09.000,2023-11-01 02:59:58.000000,2023-08-31 20:43:50,463.0,,729.0,120.0,114.0,57.0,367.0,2868.0,"Hidden Markov Models in Python, with scikit-learn like API.",45.0,30,True,2023-04-18 18:59:00.534,0.3.0,12.0,hmmlearn,conda-forge/hmmlearn,,,['sklearn'],2295.0,2153.0,https://pypi.org/project/hmmlearn,2023-04-18 18:59:00.534,142.0,183390.0,188565.0,https://anaconda.org/conda-forge/hmmlearn,2023-10-07 20:19:04.855,201842.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +296,FairScale,facebookresearch/fairscale,distributed-ml,,https://github.com/facebookresearch/fairscale,https://github.com/facebookresearch/fairscale,BSD-3-Clause,2020-07-07 19:02:01.000,2023-12-07 01:28:27.000000,2023-04-20 03:41:53,699.0,,242.0,42.0,800.0,69.0,282.0,2664.0,PyTorch extensions for high performance and large scale training.,72.0,30,True,2022-12-11 18:09:31.906,0.4.13,35.0,fairscale,conda-forge/fairscale,,,['pytorch'],3691.0,3625.0,https://pypi.org/project/fairscale,2022-12-11 18:09:31.906,66.0,427359.0,434005.0,https://anaconda.org/conda-forge/fairscale,2023-11-28 00:29:10.363,166153.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +297,Neural Network Libraries,sony/nnabla,ml-frameworks,,https://github.com/sony/nnabla,https://github.com/sony/nnabla,Apache-2.0,2017-06-26 01:07:10.000,2023-12-06 09:31:24.000000,2023-12-06 09:27:34,3490.0,53.0,341.0,155.0,1158.0,32.0,59.0,2661.0,Neural Network Libraries.,73.0,30,True,2023-12-07 00:57:13.000,1.38.0,78.0,nnabla,,,,,55.0,,https://pypi.org/project/nnabla,2023-12-06 09:31:24.000,55.0,3782.0,3793.0,,,,,,,,3.0,906.0,,,,,,,,,,,,,,,,,,, +298,Determined,determined-ai/determined,ml-frameworks,,https://github.com/determined-ai/determined,https://github.com/determined-ai/determined,Apache-2.0,2020-04-07 16:12:29.000,2023-12-07 05:05:48.000000,2023-12-07 01:07:18,7038.0,632.0,323.0,75.0,8198.0,126.0,311.0,2627.0,"Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning,..",108.0,30,True,2023-11-17 22:09:37.000,0.26.4,464.0,determined,,,https://docs.determined.ai,"['pytorch', 'tensorflow']",4.0,,https://pypi.org/project/determined,2023-12-05 19:03:31.000,4.0,20711.0,20890.0,,,,,,,,3.0,7876.0,,,,,,,,,,,,,,,,,,, +299,pygal,Kozea/pygal,graph,,https://github.com/Kozea/pygal,https://github.com/Kozea/pygal,LGPL-3.0,2011-09-23 10:17:50.000,2023-11-22 11:58:45.000000,2023-11-22 11:58:45,1051.0,31.0,443.0,127.0,138.0,192.0,246.0,2581.0,PYthon svg GrAph plotting Library.,76.0,30,False,2023-11-21 15:34:11.000,3.0.4,80.0,pygal,conda-forge/pygal,,,,637.0,,https://pypi.org/project/pygal,2023-11-21 15:34:11.000,637.0,299874.0,303150.0,https://anaconda.org/conda-forge/pygal,2023-11-21 17:04:08.093,36039.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +300,TextAttack,QData/TextAttack,adversarial,,https://github.com/QData/TextAttack,https://github.com/QData/TextAttack,MIT,2019-10-15 00:51:44.000,2023-12-07 00:09:28.000000,2023-11-11 12:54:41,2661.0,39.0,340.0,37.0,505.0,44.0,213.0,2578.0,"TextAttack is a Python framework for adversarial attacks, data augmentation, and model training in NLP..",61.0,30,True,2023-09-11 23:15:50.000,0.3.9,46.0,textattack,conda-forge/textattack,,,,221.0,216.0,https://pypi.org/project/textattack,2023-09-11 23:15:50.000,5.0,4400.0,4577.0,https://anaconda.org/conda-forge/textattack,2023-06-16 19:22:50.186,6920.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +301,GluonNLP,dmlc/gluon-nlp,nlp,,https://github.com/dmlc/gluon-nlp,https://github.com/dmlc/gluon-nlp,Apache-2.0,2018-04-04 20:57:13.000,2023-10-06 04:01:21.000000,2022-12-25 20:52:27,843.0,,519.0,99.0,1045.0,260.0,297.0,2545.0,"Toolkit that enables easy text preprocessing, datasets loading and neural models building to help you speed up your..",86.0,30,True,2020-08-13 19:17:42.000,0.10.0,26.0,gluonnlp,,,,['mxnet'],1446.0,1424.0,https://pypi.org/project/gluonnlp,2020-08-13 19:17:42.000,22.0,80199.0,80199.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +302,explainerdashboard,oegedijk/explainerdashboard,interpretability,,https://github.com/oegedijk/explainerdashboard,https://github.com/oegedijk/explainerdashboard,MIT,2019-10-30 08:26:16.000,2023-11-03 12:13:52.000000,2023-08-01 12:07:51,1342.0,,296.0,22.0,43.0,30.0,194.0,2115.0,Quickly build Explainable AI dashboards that show the inner workings of so-called blackbox machine learning models.,20.0,30,True,2023-08-01 11:53:07.000,0.4.3,88.0,explainerdashboard,conda-forge/explainerdashboard,,,,422.0,413.0,https://pypi.org/project/explainerdashboard,2023-08-01 11:53:07.000,9.0,62929.0,64086.0,https://anaconda.org/conda-forge/explainerdashboard,2023-06-16 19:23:52.178,41653.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +303,pygraphistry,graphistry/pygraphistry,graph,,https://github.com/graphistry/pygraphistry,https://github.com/graphistry/pygraphistry,BSD-3-Clause,2015-06-02 20:28:42.000,2023-12-07 13:11:10.000000,2023-12-05 09:06:23,1408.0,84.0,199.0,50.0,235.0,150.0,150.0,1940.0,"PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated..",39.0,30,True,2023-12-05 09:07:34.000,0.31.1,166.0,graphistry,,,,['jupyter'],112.0,106.0,https://pypi.org/project/graphistry,2023-12-05 09:07:34.000,6.0,2585.0,2585.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +304,tesserocr,sirfz/tesserocr,ocr,,https://github.com/sirfz/tesserocr,https://github.com/sirfz/tesserocr,MIT,2015-12-17 23:29:36.000,2023-10-09 13:43:55.000000,2023-10-09 11:43:56,191.0,4.0,255.0,57.0,69.0,49.0,219.0,1871.0,A Python wrapper for the tesseract-ocr API.,29.0,30,True,2023-10-09 13:43:55.000,2.6.2,19.0,tesserocr,conda-forge/tesserocr,,,,981.0,909.0,https://pypi.org/project/tesserocr,2023-10-09 13:43:55.000,72.0,50489.0,53049.0,https://anaconda.org/conda-forge/tesserocr,2023-06-16 16:18:15.161,128025.0,,,,,2.0,68.0,,,,,,,,,,,,,,,,,,, +305,ffn,pmorissette/ffn,financial-data,,https://github.com/pmorissette/ffn,https://github.com/pmorissette/ffn,MIT,2014-06-19 15:54:09.000,2023-11-20 12:06:39.287000,2023-11-20 02:35:16,430.0,24.0,279.0,58.0,96.0,22.0,97.0,1650.0,ffn - a financial function library for Python.,30.0,30,True,2023-11-20 02:38:07.000,1.0.0,32.0,ffn,conda-forge/ffn,,,,428.0,397.0,https://pypi.org/project/ffn,2023-11-20 02:36:47.000,31.0,171671.0,171863.0,https://anaconda.org/conda-forge/ffn,2023-11-20 12:06:39.287,6153.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +306,audiomentations,iver56/audiomentations,audio,,https://github.com/iver56/audiomentations,https://github.com/iver56/audiomentations,MIT,2019-02-12 16:36:24.000,2023-11-24 08:37:14.000000,2023-11-24 08:37:08,1107.0,15.0,170.0,22.0,143.0,46.0,123.0,1570.0,A Python library for audio data augmentation. Inspired by albumentations. Useful for machine learning.,24.0,30,True,2023-11-24 08:35:59.000,0.34.1,37.0,audiomentations,,,,,387.0,382.0,https://pypi.org/project/audiomentations,2023-11-24 08:35:59.000,5.0,14259.0,14259.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +307,equinox,patrick-kidger/equinox,jax-utils,,https://github.com/patrick-kidger/equinox,https://github.com/patrick-kidger/equinox,Apache-2.0,2021-07-29 02:21:39.000,2023-12-03 18:07:40.000000,2023-11-30 15:07:37,831.0,102.0,101.0,22.0,331.0,78.0,201.0,1542.0,Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/.,43.0,30,True,2023-11-13 18:28:25.000,0.11.2,46.0,equinox,,,,['jax'],368.0,324.0,https://pypi.org/project/equinox,2023-11-13 18:28:25.000,44.0,43398.0,43398.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +308,SciSpacy,allenai/scispacy,nlp,,https://github.com/allenai/scispacy,https://github.com/allenai/scispacy,Apache-2.0,2018-09-24 21:45:52.000,2023-10-27 06:20:12.000000,2023-10-20 21:52:11,1051.0,14.0,205.0,52.0,201.0,33.0,272.0,1528.0,A full spaCy pipeline and models for scientific/biomedical documents.,32.0,30,True,2023-09-30 19:50:35.000,0.5.3,14.0,scispacy,,,,,826.0,796.0,https://pypi.org/project/scispacy,2023-09-30 19:50:35.000,30.0,25616.0,25616.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +309,avalanche,ContinualAI/avalanche,others,,https://github.com/ContinualAI/avalanche,https://github.com/ContinualAI/avalanche,MIT,2020-03-05 11:32:13.000,2023-12-07 09:48:37.000000,2023-12-07 09:48:37,3725.0,89.0,252.0,30.0,546.0,87.0,671.0,1525.0,Avalanche: an End-to-End Library for Continual Learning based on PyTorch.,74.0,30,True,2023-07-28 14:24:47.000,0.4.0,7.0,avalanche-lib,,,,,61.0,60.0,https://pypi.org/project/avalanche-lib,2023-07-28 14:24:47.000,1.0,1195.0,1195.0,,,,,,,,2.0,4.0,,,,,,,,,,,,,,,,,,, +310,tensorly,tensorly/tensorly,others,,https://github.com/tensorly/tensorly,https://github.com/tensorly/tensorly,BSD-2-Clause,2016-10-21 23:14:52.000,2023-12-04 04:51:52.000000,2023-11-09 19:35:44,1833.0,23.0,269.0,45.0,268.0,58.0,191.0,1463.0,TensorLy: Tensor Learning in Python.,66.0,30,True,2023-03-08 01:09:02.237,0.8.1,20.0,tensorly,conda-forge/tensorly,,,,572.0,523.0,https://pypi.org/project/tensorly,2023-03-08 01:09:02.237,49.0,13533.0,18951.0,https://anaconda.org/conda-forge/tensorly,2023-06-16 16:08:38.154,363032.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +311,pingouin,raphaelvallat/pingouin,probabilistics,,https://github.com/raphaelvallat/pingouin,https://github.com/raphaelvallat/pingouin,GPL-3.0,2018-04-01 01:10:22.000,2023-11-13 20:31:37.000000,2023-11-13 20:31:36,1240.0,18.0,131.0,30.0,101.0,35.0,244.0,1441.0,Statistical package in Python based on Pandas.,43.0,30,False,2023-01-02 16:01:44.953,0.5.3,39.0,pingouin,conda-forge/pingouin,,,,1650.0,1596.0,https://pypi.org/project/pingouin,2023-01-02 16:01:44.953,54.0,82738.0,84577.0,https://anaconda.org/conda-forge/pingouin,2023-06-16 16:12:34.261,110362.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +312,lets-plot,JetBrains/lets-plot,data-viz,,https://github.com/JetBrains/lets-plot,https://github.com/JetBrains/lets-plot,MIT,2019-03-20 16:13:03.000,2023-12-07 15:00:42.000000,2023-12-06 21:17:50,3643.0,157.0,47.0,162.0,482.0,115.0,345.0,1288.0,Multiplatform plotting library based on Grammar of Graphics.,20.0,30,True,2023-11-03 12:21:13.000,4.1.0,66.0,lets-plot,,,,,53.0,51.0,https://pypi.org/project/lets-plot,2023-11-03 11:53:45.000,2.0,28778.0,28789.0,,,,,,,,3.0,548.0,,,,,,,,,,,,,,,,,,, +313,pyjanitor,pyjanitor-devs/pyjanitor,others,,https://github.com/pyjanitor-devs/pyjanitor,https://github.com/pyjanitor-devs/pyjanitor,MIT,2018-03-04 22:43:33.000,2023-11-27 11:38:16.000000,2023-11-22 12:37:24,1515.0,19.0,162.0,18.0,762.0,109.0,432.0,1216.0,Clean APIs for data cleaning. Python implementation of R package Janitor.,107.0,30,True,2023-09-18 03:57:15.000,0.26.0,59.0,pyjanitor,conda-forge/pyjanitor,,,,516.0,496.0,https://pypi.org/project/pyjanitor,2023-09-18 03:57:09.000,20.0,45484.0,48176.0,https://anaconda.org/conda-forge/pyjanitor,2023-06-16 16:12:04.304,185764.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +314,Geomstats,geomstats/geomstats,ml-frameworks,,https://github.com/geomstats/geomstats,https://github.com/geomstats/geomstats,MIT,2017-10-25 00:44:57.000,2023-12-06 02:09:52.000000,2023-12-04 09:46:07,10313.0,120.0,221.0,35.0,1408.0,206.0,337.0,1078.0,Computations and statistics on manifolds with geometric structures.,87.0,30,True,2023-08-30 05:36:10.000,2.7.0,32.0,geomstats,conda-forge/geomstats,,https://geomstats.github.io/,,88.0,85.0,https://pypi.org/project/geomstats,2023-08-30 05:33:32.000,3.0,3016.0,3127.0,https://anaconda.org/conda-forge/geomstats,2023-08-30 16:59:06.279,2015.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +315,SALib,SALib/SALib,probabilistics,,https://github.com/SALib/SALib,https://github.com/SALib/SALib,MIT,2013-05-30 13:38:10.000,2023-11-14 05:08:49.000000,2023-11-14 05:08:49,1913.0,27.0,221.0,20.0,286.0,48.0,270.0,762.0,"Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and other methods.",44.0,30,True,2023-01-08 01:14:38.679,1.4.7,46.0,salib,conda-forge/salib,,,,1046.0,963.0,https://pypi.org/project/salib,2023-01-08 01:14:38.679,83.0,137250.0,138903.0,https://anaconda.org/conda-forge/salib,2023-06-16 13:22:11.263,140534.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +316,TensorFlow I/O,tensorflow/io,tensorflow-utils,,https://github.com/tensorflow/io,https://github.com/tensorflow/io,Apache-2.0,2018-11-09 22:44:05.000,2023-12-07 13:34:24.000000,2023-10-07 23:47:13,1647.0,10.0,277.0,44.0,1273.0,259.0,362.0,673.0,"Dataset, streaming, and file system extensions maintained by TensorFlow SIG-IO.",107.0,30,True,2023-09-08 15:59:39.000,0.34.0,41.0,tensorflow-io,,,,['tensorflow'],35.0,,https://pypi.org/project/tensorflow-io,2023-09-08 14:58:40.000,35.0,3186322.0,3186322.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +317,datalad,datalad/datalad,others,,https://github.com/datalad/datalad,https://github.com/datalad/datalad,MIT,2013-11-01 19:40:08.000,2023-11-27 16:22:11.000000,2023-11-27 16:21:54,17052.0,42.0,108.0,26.0,3551.0,509.0,3377.0,468.0,"Keep code, data, containers under control with git and git-annex.",55.0,30,True,2023-08-10 15:56:42.000,0.19.3,108.0,datalad,conda-forge/datalad,,,,64.0,,https://pypi.org/project/datalad,2023-08-10 15:56:42.000,64.0,14825.0,24538.0,https://anaconda.org/conda-forge/datalad,2023-08-10 20:20:25.522,407964.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +318,Cython BLIS,explosion/cython-blis,others,,https://github.com/explosion/cython-blis,https://github.com/explosion/cython-blis,BSD-3-Clause,2017-10-15 09:56:16.000,2023-11-03 15:14:22.000000,2023-11-03 14:46:16,569.0,5.0,38.0,14.0,69.0,7.0,25.0,204.0,Fast matrix-multiplication as a self-contained Python library no system dependencies!.,12.0,30,False,2023-09-22 06:31:01.000,0.7.11,46.0,blis,conda-forge/cython-blis,,,,36417.0,36170.0,https://pypi.org/project/blis,2023-09-22 06:27:17.000,247.0,5767839.0,5819721.0,https://anaconda.org/conda-forge/cython-blis,2023-10-01 08:59:57.840,2023431.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +319,backtrader,mementum/backtrader,financial-data,,https://github.com/mementum/backtrader,https://github.com/mementum/backtrader,GPL-3.0,2015-01-10 07:14:52.000,2023-11-19 15:53:51.000000,2023-04-19 14:13:08,2404.0,,3342.0,598.0,218.0,42.0,,12056.0,Python Backtesting library for trading strategies.,56.0,29,False,,,157.0,backtrader,,,,,1862.0,1799.0,https://pypi.org/project/backtrader,2023-04-19 14:15:00.742,63.0,14280.0,14280.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +320,PaddleDetection,PaddlePaddle/PaddleDetection,image,,https://github.com/PaddlePaddle/PaddleDetection,https://github.com/PaddlePaddle/PaddleDetection,Apache-2.0,2019-10-25 07:21:14.000,2023-12-05 23:50:52.000000,2023-09-27 02:38:06,2223.0,3.0,2736.0,194.0,3593.0,1378.0,3843.0,11533.0,"Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object..",157.0,29,True,2023-10-19 03:47:18.000,2.7.0,9.0,paddledet,,,,['paddle'],1.0,,https://pypi.org/project/paddledet,2022-09-19 20:42:09.271,1.0,694.0,694.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +321,english-words,dwyl/english-words,nlp,,https://github.com/dwyl/english-words,https://github.com/dwyl/english-words,Unlicense,2014-07-13 22:20:45.000,2023-12-04 21:17:36.000000,2022-11-08 22:11:16,98.0,,1719.0,202.0,70.0,96.0,34.0,9607.0,A text file containing 479k English words for all your dictionary/word-based projects e.g: auto-completion /..,30.0,29,False,2023-05-24 15:11:00.531,2.0.1,9.0,english-words,,,,,12.0,2.0,https://pypi.org/project/english-words,2023-05-24 15:11:00.531,10.0,521720.0,521720.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +322,pretrainedmodels,Cadene/pretrained-models.pytorch,pytorch-utils,,https://github.com/Cadene/pretrained-models.pytorch,https://github.com/Cadene/pretrained-models.pytorch,BSD-3-Clause,2017-04-09 15:54:23.000,2023-06-16 19:20:12.183000,2020-04-16 08:02:22,154.0,,1840.0,217.0,46.0,96.0,94.0,8872.0,"Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.",22.0,29,False,2018-10-29 08:18:45.000,0.7.4,16.0,pretrainedmodels,conda-forge/pretrainedmodels,,,['pytorch'],114.0,20.0,https://pypi.org/project/pretrainedmodels,2018-10-29 08:18:45.000,94.0,125894.0,126604.0,https://anaconda.org/conda-forge/pretrainedmodels,2023-06-16 19:20:12.183,29835.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +323,AutoGluon,autogluon/autogluon,hyperopt,,https://github.com/autogluon/autogluon,https://github.com/autogluon/autogluon,Apache-2.0,2019-07-29 18:51:24.000,2023-12-07 14:17:25.000000,2023-12-01 20:19:03,2064.0,171.0,803.0,97.0,2302.0,270.0,873.0,6515.0,"AutoGluon: AutoML for Image, Text, Time Series, and Tabular Data.",114.0,29,True,2023-11-30 05:58:09.000,1.0.0,1358.0,autogluon,,autogluon/autogluon,https://auto.gluon.ai,"['pytorch', 'sklearn']",9.0,2.0,https://pypi.org/project/autogluon,2023-12-07 09:05:10.000,7.0,56614.0,56708.0,,,,https://hub.docker.com/r/autogluon/autogluon,2023-07-26 19:13:58.158186,17.0,4982.0,2.0,,,,,,,,,,,,,,,,,,,, +324,CleverHans,cleverhans-lab/cleverhans,adversarial,,https://github.com/cleverhans-lab/cleverhans,https://github.com/cleverhans-lab/cleverhans,MIT,2016-09-15 00:28:04.000,2023-06-16 19:20:32.486000,2023-01-31 19:40:04,3203.0,,1390.0,190.0,783.0,38.0,423.0,5971.0,"An adversarial example library for constructing attacks, building defenses, and benchmarking both.",131.0,29,True,2021-07-24 08:53:21.000,4.0.0,8.0,cleverhans,conda-forge/cleverhans,,,['tensorflow'],570.0,558.0,https://pypi.org/project/cleverhans,2021-07-24 08:53:21.000,12.0,1305.0,1479.0,https://anaconda.org/conda-forge/cleverhans,2023-06-16 19:20:32.486,7341.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +325,pyAudioAnalysis,tyiannak/pyAudioAnalysis,audio,,https://github.com/tyiannak/pyAudioAnalysis,https://github.com/tyiannak/pyAudioAnalysis,Apache-2.0,2014-08-27 12:43:13.000,2023-10-22 09:33:23.000000,2023-10-22 09:33:23,779.0,4.0,1156.0,212.0,91.0,194.0,120.0,5511.0,"Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications.",28.0,29,True,2022-02-07 22:36:53.000,0.3.14,23.0,pyAudioAnalysis,,,,,428.0,409.0,https://pypi.org/project/pyAudioAnalysis,2022-02-07 22:36:53.000,19.0,9693.0,9693.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +326,torchdiffeq,rtqichen/torchdiffeq,pytorch-utils,,https://github.com/rtqichen/torchdiffeq,https://github.com/rtqichen/torchdiffeq,MIT,2018-11-14 17:51:25.000,2023-10-19 19:24:54.000000,2023-10-19 19:24:51,248.0,1.0,851.0,124.0,38.0,62.0,144.0,4958.0,Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.,21.0,29,True,2022-04-22 15:21:47.000,0.2.3,7.0,torchdiffeq,conda-forge/torchdiffeq,,,['pytorch'],2629.0,2586.0,https://pypi.org/project/torchdiffeq,2022-04-22 15:21:47.000,43.0,742866.0,743189.0,https://anaconda.org/conda-forge/torchdiffeq,2023-06-16 19:19:05.182,13929.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +327,lightfm,lyst/lightfm,recommender-systems,,https://github.com/lyst/lightfm,https://github.com/lyst/lightfm,Apache-2.0,2015-07-30 08:34:00.000,2023-08-27 19:16:02.000000,2023-04-30 18:36:20,483.0,,664.0,89.0,206.0,138.0,356.0,4487.0,"A Python implementation of LightFM, a hybrid recommendation algorithm.",47.0,29,True,2023-03-20 04:08:46.000,1.17,15.0,lightfm,conda-forge/lightfm,,,,1339.0,1289.0,https://pypi.org/project/lightfm,2023-03-20 04:15:00.582,50.0,695358.0,697731.0,https://anaconda.org/conda-forge/lightfm,2023-06-16 16:08:40.466,168502.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +328,nlpaug,makcedward/nlpaug,nlp,,https://github.com/makcedward/nlpaug,https://github.com/makcedward/nlpaug,MIT,2019-03-21 03:00:17.000,2023-06-16 19:26:38.185000,2022-07-07 05:16:43,738.0,,438.0,42.0,124.0,63.0,154.0,4189.0,Data augmentation for NLP.,33.0,29,False,2022-07-07 05:24:14.000,1.1.11,37.0,nlpaug,conda-forge/nlpaug,,,,997.0,967.0,https://pypi.org/project/nlpaug,2022-07-07 05:23:07.000,30.0,179147.0,179660.0,https://anaconda.org/conda-forge/nlpaug,2023-06-16 19:26:38.185,15404.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +329,bqplot,bqplot/bqplot,data-viz,,https://github.com/bqplot/bqplot,https://github.com/bqplot/bqplot,Apache-2.0,2015-09-26 04:02:18.000,2023-11-06 09:55:37.480000,2023-10-04 07:40:23,3656.0,2.0,474.0,100.0,1043.0,254.0,368.0,3497.0,Plotting library for IPython/Jupyter notebooks.,64.0,29,True,2023-10-17 15:07:51.000,0.12.42,110.0,bqplot,conda-forge/bqplot,,,['jupyter'],172.0,51.0,https://pypi.org/project/bqplot,2023-10-17 15:07:51.000,105.0,122424.0,154938.0,https://anaconda.org/conda-forge/bqplot,2023-11-06 09:55:37.480,1244268.0,,,,,3.0,,,,,bqplot,https://www.npmjs.com/package/bqplot,2023-10-17 10:48:26.195,16.0,3578.0,,,,,,,,,,, +330,sahi,obss/sahi,image,,https://github.com/obss/sahi,https://github.com/obss/sahi,MIT,2021-01-30 12:54:53.000,2023-11-25 19:54:18.000000,2023-11-25 19:47:15,483.0,13.0,472.0,35.0,499.0,6.0,,3235.0,Framework agnostic sliced/tiled inference + interactive ui + error analysis plots.,36.0,29,True,2023-11-05 23:19:54.000,0.11.15,101.0,sahi,conda-forge/sahi,,,,781.0,769.0,https://pypi.org/project/sahi,2023-11-05 23:19:54.000,12.0,116944.0,119527.0,https://anaconda.org/conda-forge/sahi,2023-11-06 10:35:24.165,51833.0,,,,,3.0,20066.0,,,,,,,,,,,,,,,,,,, +331,TextDistance,life4/textdistance,nlp,,https://github.com/life4/textdistance,https://github.com/life4/textdistance,MIT,2017-05-05 08:46:10.000,2023-09-28 08:31:00.000000,2023-09-28 08:30:38,400.0,24.0,247.0,63.0,51.0,9.0,,3228.0,"Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external..",14.0,29,True,2023-09-28 08:32:07.000,4.6.0,26.0,textdistance,conda-forge/textdistance,,,,5367.0,5302.0,https://pypi.org/project/textdistance,2023-09-28 08:30:50.000,65.0,410177.0,417655.0,https://anaconda.org/conda-forge/textdistance,2023-06-16 16:13:38.456,500210.0,,,,,2.0,971.0,,,,,,,,,,,,,,,,,,, +332,pomegranate,jmschrei/pomegranate,probabilistics,,https://github.com/jmschrei/pomegranate,https://github.com/jmschrei/pomegranate,MIT,2014-11-24 18:36:58.000,2023-11-13 00:15:46.000000,2023-11-13 00:15:46,980.0,1.0,570.0,100.0,332.0,29.0,712.0,3201.0,"Fast, flexible and easy to use probabilistic modelling in Python.",72.0,29,True,2023-09-17 19:03:32.000,0.14.9,73.0,pomegranate,conda-forge/pomegranate,,,,1074.0,1016.0,https://pypi.org/project/pomegranate,2023-09-17 19:03:32.000,58.0,22895.0,26144.0,https://anaconda.org/conda-forge/pomegranate,2023-09-07 11:32:40.942,139715.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +333,Catalyst,catalyst-team/catalyst,ml-experiments,,https://github.com/catalyst-team/catalyst,https://github.com/catalyst-team/catalyst,Apache-2.0,2018-08-20 07:56:13.000,2023-07-08 17:08:15.000000,2022-04-29 04:19:24,1698.0,,399.0,47.0,1084.0,6.0,353.0,3190.0,Accelerated deep learning R&D.,104.0,29,False,2022-04-29 04:45:11.000,22.04,108.0,catalyst,,,,['pytorch'],1074.0,1036.0,https://pypi.org/project/catalyst,2022-04-29 04:46:04.000,38.0,64861.0,64861.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +334,Deep Checks,deepchecks/deepchecks,interpretability,,https://github.com/deepchecks/deepchecks,https://github.com/deepchecks/deepchecks,AGPL-3.0,2021-10-11 14:48:38.000,2023-12-06 16:43:03.000000,2023-12-06 15:56:49,1475.0,16.0,225.0,16.0,1696.0,263.0,722.0,3128.0,Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all..,52.0,29,False,2023-10-11 15:32:25.000,0.17.5,58.0,deepchecks,,,,,307.0,301.0,https://pypi.org/project/deepchecks,2023-10-11 15:32:13.000,6.0,35340.0,35369.0,,,,,,,,2.0,767.0,,,,,,,,,,,,,,,,,,, +335,Cufflinks,santosjorge/cufflinks,data-viz,,https://github.com/santosjorge/cufflinks,https://github.com/santosjorge/cufflinks,MIT,2014-11-19 20:59:33.000,2022-02-11 16:25:24.000000,2021-02-25 05:05:09,452.0,,672.0,110.0,73.0,99.0,123.0,2922.0,Productivity Tools for Plotly + Pandas.,39.0,29,False,2020-03-01 17:42:01.000,0.17.3,28.0,cufflinks,,,,['pandas'],9788.0,9617.0,https://pypi.org/project/cufflinks,2020-03-01 17:42:01.000,171.0,76824.0,76824.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +336,pytorch-optimizer,jettify/pytorch-optimizer,pytorch-utils,,https://github.com/jettify/pytorch-optimizer,https://github.com/jettify/pytorch-optimizer,Apache-2.0,2020-01-03 03:16:39.000,2023-11-22 23:34:56.000000,2023-06-20 03:14:12,435.0,,282.0,34.0,475.0,31.0,30.0,2887.0,torch-optimizer -- collection of optimizers for Pytorch.,26.0,29,True,2021-10-31 03:00:19.000,0.3.0,21.0,torch_optimizer,conda-forge/torch-optimizer,,,['pytorch'],1090.0,1046.0,https://pypi.org/project/torch_optimizer,2021-10-31 03:00:19.000,44.0,155673.0,155964.0,https://anaconda.org/conda-forge/torch-optimizer,2023-06-16 19:25:40.043,9341.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +337,mljar-supervised,mljar/mljar-supervised,hyperopt,,https://github.com/mljar/mljar-supervised,https://github.com/mljar/mljar-supervised,MIT,2018-11-05 12:58:04.000,2023-12-01 14:45:25.000000,2023-12-01 12:50:09,1133.0,32.0,368.0,44.0,63.0,133.0,458.0,2840.0,"Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and..",23.0,29,True,2023-09-26 17:27:09.000,1.1.1,84.0,mljar-supervised,conda-forge/mljar-supervised,,,,99.0,97.0,https://pypi.org/project/mljar-supervised,2023-09-26 17:23:51.000,2.0,5778.0,6177.0,https://anaconda.org/conda-forge/mljar-supervised,2023-09-27 04:54:23.157,11990.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +338,dtreeviz,parrt/dtreeviz,interpretability,,https://github.com/parrt/dtreeviz,https://github.com/parrt/dtreeviz,MIT,2018-08-13 21:45:15.000,2023-09-23 22:00:36.000000,2023-07-13 17:20:36,617.0,,324.0,48.0,119.0,58.0,134.0,2704.0,A python library for decision tree visualization and model interpretation.,25.0,29,True,2023-07-13 17:23:01.507,2.2.2,41.0,dtreeviz,conda-forge/dtreeviz,,,,1005.0,981.0,https://pypi.org/project/dtreeviz,2022-07-07 17:18:00.886,24.0,157758.0,159469.0,https://anaconda.org/conda-forge/dtreeviz,2023-07-13 20:18:43.899,63321.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +339,Sweetviz,fbdesignpro/sweetviz,data-viz,,https://github.com/fbdesignpro/sweetviz,https://github.com/fbdesignpro/sweetviz,MIT,2020-05-09 15:25:47.000,2023-12-04 12:10:57.449000,2023-11-29 13:26:08,135.0,11.0,264.0,49.0,19.0,34.0,97.0,2697.0,"Visualize and compare datasets, target values and associations, with one line of code.",11.0,29,True,2023-11-29 13:30:45.000,2.3.1,35.0,sweetviz,conda-forge/sweetviz,,,,1871.0,1857.0,https://pypi.org/project/sweetviz,2023-11-29 13:27:52.000,14.0,66399.0,67176.0,https://anaconda.org/conda-forge/sweetviz,2023-12-04 12:10:57.449,26448.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +340,shapash,MAIF/shapash,interpretability,,https://github.com/MAIF/shapash,https://github.com/MAIF/shapash,Apache-2.0,2020-04-29 07:34:23.000,2023-12-01 08:51:46.000000,2023-12-01 08:20:51,1513.0,57.0,302.0,39.0,313.0,35.0,145.0,2514.0,Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models.,35.0,29,True,2023-12-01 08:51:46.000,2.4.0,36.0,shapash,,,,['jupyter'],136.0,134.0,https://pypi.org/project/shapash,2023-12-01 08:51:46.000,2.0,5573.0,5573.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +341,ipyparallel,ipython/ipyparallel,distributed-ml,,https://github.com/ipython/ipyparallel,https://github.com/ipython/ipyparallel,,2015-04-09 07:43:55.000,2023-12-05 08:28:17.000000,2023-12-05 08:28:16,2859.0,15.0,962.0,120.0,495.0,57.0,293.0,2512.0,IPython Parallel: Interactive Parallel Computing in Python.,112.0,29,False,2023-04-14 13:35:06.415,8.6.1,45.0,ipyparallel,conda-forge/ipyparallel,,,['jupyter'],301.0,,https://pypi.org/project/ipyparallel,2023-04-14 13:35:06.415,301.0,269256.0,279462.0,https://anaconda.org/conda-forge/ipyparallel,2023-06-16 13:17:51.662,938991.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +342,mpld3,mpld3/mpld3,data-viz,,https://github.com/mpld3/mpld3,https://github.com/mpld3/mpld3,BSD-3-Clause,2013-12-18 01:48:30.000,2023-07-06 22:54:55.000000,2022-12-10 14:00:49,877.0,,356.0,84.0,166.0,219.0,146.0,2286.0,D3 Renderings of Matplotlib Graphics.,51.0,29,True,2022-12-10 14:03:04.289,0.5.9,18.0,mpld3,conda-forge/mpld3,,,,5698.0,5281.0,https://pypi.org/project/mpld3,2022-12-10 14:03:04.289,409.0,414033.0,416531.0,https://anaconda.org/conda-forge/mpld3,2023-06-16 13:17:04.944,190643.0,,,,,3.0,,,,,mpld3,https://www.npmjs.com/package/mpld3,2022-12-10 14:00:31.699,8.0,426.0,,,,,,,,,,, +343,Alibi,SeldonIO/alibi,interpretability,,https://github.com/SeldonIO/alibi,https://github.com/SeldonIO/alibi,Apache-2.0,2019-02-26 10:10:56.000,2023-12-06 05:41:13.000000,2023-11-13 15:09:34,648.0,18.0,234.0,47.0,630.0,134.0,224.0,2214.0,Algorithms for explaining machine learning models.,19.0,29,True,2023-07-07 14:10:27.000,0.9.4,31.0,alibi,,,,,561.0,535.0,https://pypi.org/project/alibi,2023-07-07 14:10:05.734,26.0,17007.0,17007.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +344,NeuralForecast,Nixtla/neuralforecast,time-series-data,,https://github.com/Nixtla/neuralforecast,https://github.com/Nixtla/neuralforecast,Apache-2.0,2021-04-26 00:15:19.000,2023-12-07 03:39:38.000000,2023-12-07 03:36:19,1077.0,36.0,224.0,33.0,398.0,86.0,294.0,2014.0,Scalable and user friendly neural forecasting algorithms.,32.0,29,True,2023-10-05 19:40:30.000,1.6.4,20.0,neuralforecast,conda-forge/neuralforecast,,,,83.0,78.0,https://pypi.org/project/neuralforecast,2023-10-05 19:40:30.000,5.0,15054.0,15626.0,https://anaconda.org/conda-forge/neuralforecast,2023-10-06 19:47:12.240,12020.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +345,alibi-detect,SeldonIO/alibi-detect,others,,https://github.com/SeldonIO/alibi-detect,https://github.com/SeldonIO/alibi-detect,Apache-2.0,2019-10-07 13:29:13.000,2023-11-28 07:19:21.000000,2023-11-13 15:09:30,712.0,13.0,203.0,34.0,519.0,134.0,233.0,1987.0,"Algorithms for outlier, adversarial and drift detection.",20.0,29,True,2023-07-07 12:16:02.615,0.11.4,36.0,alibi-detect,,,,,398.0,392.0,https://pypi.org/project/alibi-detect,2023-07-07 12:16:02.615,6.0,21976.0,21976.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +346,GPflow,GPflow/GPflow,probabilistics,,https://github.com/GPflow/GPflow,https://github.com/GPflow/GPflow,Apache-2.0,2016-01-14 11:29:24.000,2023-12-04 11:08:26.000000,2023-11-29 10:42:16,2442.0,2.0,435.0,73.0,1254.0,143.0,679.0,1774.0,Gaussian processes in TensorFlow.,83.0,29,True,2023-08-09 09:23:26.000,2.9.0,48.0,gpflow,conda-forge/gpflow,,,['tensorflow'],627.0,591.0,https://pypi.org/project/gpflow,2023-08-09 09:23:26.000,36.0,47693.0,48058.0,https://anaconda.org/conda-forge/gpflow,2023-06-16 16:08:37.785,24487.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +347,pyLDAvis,bmabey/pyLDAvis,interpretability,,https://github.com/bmabey/pyLDAvis,https://github.com/bmabey/pyLDAvis,BSD-3-Clause,2015-04-09 22:48:03.000,2023-07-31 14:46:11.000000,2023-04-24 15:04:32,275.0,,355.0,52.0,77.0,83.0,99.0,1748.0,Python library for interactive topic model visualization. Port of the R LDAvis package.,39.0,29,True,2023-04-23 23:55:02.142,3.4.1,26.0,pyldavis,conda-forge/pyldavis,,,['jupyter'],5701.0,5542.0,https://pypi.org/project/pyldavis,2023-04-23 23:55:02.142,159.0,210460.0,211621.0,https://anaconda.org/conda-forge/pyldavis,2023-06-16 16:08:55.034,76626.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +348,lightning-flash,Lightning-AI/lightning-flash,pytorch-utils,,https://github.com/Lightning-Universe/lightning-flash,https://github.com/Lightning-Universe/lightning-flash,Apache-2.0,2021-01-28 18:47:16.000,2023-10-08 14:28:44.000000,2023-10-08 14:28:43,1157.0,14.0,206.0,36.0,1081.0,25.0,496.0,1719.0,Your PyTorch AI Factory - Flash enables you to easily configure and run complex AI recipes for over 15 tasks across 7..,87.0,29,True,2023-06-30 13:37:19.283,0.8.2,40.0,lightning-flash,conda-forge/lightning-flash,,,['pytorch'],258.0,255.0,https://pypi.org/project/lightning-flash,2022-05-11 18:17:54.000,3.0,1686.0,2277.0,https://anaconda.org/conda-forge/lightning-flash,2023-07-04 02:12:18.993,16556.0,,,,,1.0,,,,Lightning-Universe/lightning-flash,,,,,,,,,,,,,,,, +349,fairlearn,fairlearn/fairlearn,interpretability,,https://github.com/fairlearn/fairlearn,https://github.com/fairlearn/fairlearn,MIT,2018-05-15 01:51:35.000,2023-12-04 15:40:39.000000,2023-12-04 15:40:39,832.0,30.0,359.0,37.0,845.0,175.0,287.0,1695.0,A Python package to assess and improve fairness of machine learning models.,77.0,29,True,2023-07-28 09:05:39.000,0.9.0,19.0,fairlearn,conda-forge/fairlearn,,,['sklearn'],31.0,2.0,https://pypi.org/project/fairlearn,2023-07-27 16:36:24.000,29.0,320813.0,321629.0,https://anaconda.org/conda-forge/fairlearn,2023-07-28 12:27:51.245,30196.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +350,TF Recommenders,tensorflow/recommenders,recommender-systems,,https://github.com/tensorflow/recommenders,https://github.com/tensorflow/recommenders,Apache-2.0,2020-06-26 21:38:01.000,2023-11-29 06:22:47.000000,2023-11-29 06:22:42,364.0,5.0,248.0,48.0,311.0,232.0,183.0,1683.0,TensorFlow Recommenders is a library for building recommender system models using TensorFlow.,42.0,29,True,2023-02-03 02:17:00.422,0.7.3,16.0,tensorflow-recommenders,,,,['tensorflow'],267.0,266.0,https://pypi.org/project/tensorflow-recommenders,2023-02-03 02:17:00.422,1.0,303968.0,303968.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +351,PyCUDA,inducer/pycuda,gpu-utilities,,https://github.com/inducer/pycuda,https://github.com/inducer/pycuda,MIT,2011-04-06 02:53:31.000,2023-11-11 20:39:50.545000,2023-11-10 19:30:40,1586.0,1.0,278.0,54.0,135.0,78.0,182.0,1656.0,"CUDA integration for Python, plus shiny features.",80.0,29,True,2023-11-10 19:34:27.000,2023.1,52.0,pycuda,conda-forge/pycuda,,,,2751.0,2528.0,https://pypi.org/project/pycuda,2023-11-10 19:36:56.000,223.0,36025.0,44058.0,https://anaconda.org/conda-forge/pycuda,2023-11-11 20:39:50.545,265093.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +352,torchrec,pytorch/torchrec,recommender-systems,,https://github.com/pytorch/torchrec,https://github.com/pytorch/torchrec,BSD-3-Clause,2021-07-12 23:15:48.000,2023-12-07 11:34:46.000000,2023-12-07 07:32:40,1409.0,128.0,303.0,31.0,1440.0,130.0,96.0,1590.0,Pytorch domain library for recommendation systems.,188.0,29,True,2023-10-05 17:21:59.000,0.5.0,77.0,torchrec-nightly-cpu,,,,,79.0,79.0,https://pypi.org/project/torchrec-nightly-cpu,2022-05-12 18:55:21.000,,279.0,279.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +353,Elephas,maxpumperla/elephas,distributed-ml,,https://github.com/maxpumperla/elephas,https://github.com/maxpumperla/elephas,MIT,2015-08-13 12:09:19.000,2023-11-09 11:42:34.000000,2022-08-31 01:52:51,509.0,,308.0,103.0,49.0,7.0,151.0,1568.0,Distributed Deep learning with Keras & Spark.,27.0,29,False,2023-11-09 11:42:34.000,5.0.0,39.0,elephas,conda-forge/elephas,,,"['keras', 'spark']",76.0,73.0,https://pypi.org/project/elephas,2023-11-09 11:42:34.000,3.0,61282.0,61536.0,https://anaconda.org/conda-forge/elephas,2023-06-16 16:16:35.554,13241.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +354,torchsde,google-research/torchsde,pytorch-utils,,https://github.com/google-research/torchsde,https://github.com/google-research/torchsde,Apache-2.0,2020-07-06 23:13:11.000,2023-09-26 23:11:11.000000,2023-09-26 23:11:11,163.0,4.0,174.0,33.0,72.0,19.0,51.0,1396.0,Differentiable SDE solvers with GPU support and efficient sensitivity analysis.,8.0,29,True,2023-09-26 22:07:23.000,0.2.6,5.0,torchsde,conda-forge/torchsde,,,['pytorch'],1902.0,1892.0,https://pypi.org/project/torchsde,2023-09-26 21:52:19.000,10.0,1046636.0,1047177.0,https://anaconda.org/conda-forge/torchsde,2023-06-16 19:24:16.458,18944.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +355,Model Analysis,tensorflow/model-analysis,interpretability,,https://github.com/tensorflow/model-analysis,https://github.com/tensorflow/model-analysis,Apache-2.0,2018-03-23 19:08:49.000,2023-12-06 21:12:26.000000,2023-12-06 00:33:39,1391.0,32.0,266.0,74.0,104.0,34.0,53.0,1218.0,Model analysis tools for TensorFlow.,56.0,29,True,2023-08-14 20:39:41.000,0.45.0,56.0,tensorflow-model-analysis,,,,"['tensorflow', 'jupyter']",23.0,,https://pypi.org/project/tensorflow-model-analysis,2023-08-14 20:39:41.000,23.0,94172.0,94172.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +356,ktrain,amaiya/ktrain,ml-frameworks,,https://github.com/amaiya/ktrain,https://github.com/amaiya/ktrain,Apache-2.0,2019-02-06 17:01:39.000,2023-12-01 20:21:49.000000,2023-11-18 20:02:49,3016.0,8.0,267.0,34.0,37.0,1.0,478.0,1191.0,ktrain is a Python library that makes deep learning and AI more accessible and easier to apply.,16.0,29,True,2023-11-18 20:03:36.000,0.39.0,205.0,ktrain,,,,['tensorflow'],488.0,485.0,https://pypi.org/project/ktrain,2023-11-18 19:59:57.000,3.0,19779.0,19779.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +357,Prince,MaxHalford/prince,others,,https://github.com/MaxHalford/prince,https://github.com/MaxHalford/prince,MIT,2016-10-22 12:36:06.000,2023-12-05 15:54:04.000000,2023-12-05 15:54:00,391.0,15.0,177.0,24.0,30.0,3.0,129.0,1132.0,"Multivariate exploratory data analysis in Python PCA, CA, MCA, MFA, FAMD, GPA.",16.0,29,True,2023-10-11 22:35:06.000,0.13.0,59.0,prince,conda-forge/prince-factor-analysis,,,['sklearn'],468.0,458.0,https://pypi.org/project/prince,2023-10-11 22:35:06.000,10.0,96496.0,96852.0,https://anaconda.org/conda-forge/prince-factor-analysis,2023-06-16 16:19:02.748,17465.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +358,pyclustering,annoviko/pyclustering,others,,https://github.com/annoviko/pyclustering,https://github.com/annoviko/pyclustering,BSD-3-Clause,2014-02-25 18:59:03.000,2023-11-16 19:00:50.847000,2021-02-12 19:04:59,2079.0,,244.0,40.0,36.0,66.0,590.0,1115.0,"pyclustering is a Python, C++ data mining library.",26.0,29,False,2020-11-25 22:33:07.000,0.10.1.2,46.0,pyclustering,conda-forge/pyclustering,,,,615.0,581.0,https://pypi.org/project/pyclustering,2020-11-25 22:41:20.000,34.0,75088.0,76528.0,https://anaconda.org/conda-forge/pyclustering,2023-11-16 19:00:50.847,58855.0,,,,,2.0,481.0,,,,,,,,,,,,,,,,,,, +359,responsible-ai-widgets,microsoft/responsible-ai-toolbox,interpretability,,https://github.com/microsoft/responsible-ai-toolbox,https://github.com/microsoft/responsible-ai-toolbox,MIT,2020-07-06 20:46:53.000,2023-12-07 00:04:17.000000,2023-12-06 22:23:05,1876.0,90.0,278.0,23.0,2158.0,75.0,224.0,1042.0,Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and..,39.0,29,True,2023-12-06 14:56:49.000,0.32.1,51.0,raiwidgets,,,,"['pytorch', 'tensorflow', 'jupyter']",78.0,75.0,https://pypi.org/project/raiwidgets,2023-12-06 05:40:17.000,3.0,5587.0,5587.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +360,Keras-Preprocessing,keras-team/keras-preprocessing,tensorflow-utils,,https://github.com/keras-team/keras-preprocessing,https://github.com/keras-team/keras-preprocessing,MIT,2018-05-30 22:43:36.000,2023-06-16 16:10:42.597000,2022-02-17 22:38:15,288.0,,454.0,43.0,176.0,93.0,102.0,1028.0,"Utilities for working with image data, text data, and sequence data.",52.0,29,False,2020-05-14 03:55:22.223,1.1.2,12.0,keras-preprocessing,conda-forge/keras-preprocessing,,,['tensorflow'],1575.0,,https://pypi.org/project/keras-preprocessing,2020-05-14 03:55:22.223,1575.0,5068491.0,5101077.0,https://anaconda.org/conda-forge/keras-preprocessing,2023-06-16 16:10:42.597,2150721.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +361,CellProfiler,CellProfiler/CellProfiler,image,,https://github.com/CellProfiler/CellProfiler,https://github.com/CellProfiler/CellProfiler,BSD-3-Clause,2011-04-05 12:10:12.000,2023-12-07 14:57:22.000000,2023-11-16 16:35:47,16528.0,66.0,359.0,43.0,1605.0,278.0,2951.0,819.0,An open-source application for biological image analysis.,143.0,29,True,2023-08-14 19:59:48.000,4.2.6,48.0,cellprofiler,,,,,21.0,20.0,https://pypi.org/project/cellprofiler,2023-08-14 19:14:28.000,1.0,708.0,761.0,,,,,,,,3.0,6307.0,,,,,,,,,,,,,,,,,,, +362,PyNNDescent,lmcinnes/pynndescent,nn-search,,https://github.com/lmcinnes/pynndescent,https://github.com/lmcinnes/pynndescent,BSD-2-Clause,2018-02-07 23:23:54.000,2023-11-20 21:14:19.693000,2023-11-20 18:02:35,663.0,9.0,101.0,14.0,94.0,69.0,60.0,817.0,A Python nearest neighbor descent for approximate nearest neighbors.,27.0,29,True,2023-11-20 18:50:25.000,0.5.11,30.0,pynndescent,conda-forge/pynndescent,,,,5027.0,4959.0,https://pypi.org/project/pynndescent,2023-11-20 18:50:25.000,68.0,986266.0,1028197.0,https://anaconda.org/conda-forge/pynndescent,2023-11-20 21:14:19.693,1719184.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +363,data-validation,tensorflow/data-validation,data-viz,,https://github.com/tensorflow/data-validation,https://github.com/tensorflow/data-validation,Apache-2.0,2018-07-02 15:47:02.000,2023-11-22 15:19:12.000000,2023-11-17 21:59:41,936.0,11.0,153.0,47.0,82.0,37.0,142.0,735.0,Library for exploring and validating machine learning data.,25.0,29,True,2023-08-14 06:58:23.000,1.14.0,44.0,tensorflow-data-validation,,,,"['tensorflow', 'jupyter']",797.0,767.0,https://pypi.org/project/tensorflow-data-validation,2023-08-14 06:58:23.000,30.0,190558.0,190568.0,,,,,,,,3.0,641.0,,,,,,,,,,,,,,,,,,, +364,mpi4py,mpi4py/mpi4py,distributed-ml,,https://github.com/mpi4py/mpi4py,https://github.com/mpi4py/mpi4py,BSD-2-Clause,2013-09-05 14:44:25.000,2023-12-07 14:24:25.000000,2023-12-07 14:17:19,2993.0,109.0,107.0,16.0,243.0,11.0,126.0,716.0,Python bindings for MPI.,26.0,29,True,2023-10-04 09:04:51.000,3.1.5,27.0,mpi4py,conda-forge/mpi4py,,,,723.0,,https://pypi.org/project/mpi4py,2023-10-04 09:04:51.000,723.0,191110.0,250934.0,https://anaconda.org/conda-forge/mpi4py,2023-10-17 08:36:29.714,2255909.0,,,,,2.0,18810.0,,,,,,,,,,,,,,,,,,, +365,GeoViews,holoviz/geoviews,geospatial-data,,https://github.com/holoviz/geoviews,https://github.com/holoviz/geoviews,BSD-3-Clause,2016-04-19 16:27:01.000,2023-11-21 12:56:56.000000,2023-11-21 12:56:55,791.0,16.0,72.0,25.0,356.0,111.0,225.0,536.0,"Simple, concise geographical visualization in Python.",30.0,29,True,2023-11-01 18:39:43.000,1.11.0,53.0,geoviews,conda-forge/geoviews,,,,859.0,823.0,https://pypi.org/project/geoviews,2023-11-01 16:39:32.000,36.0,7153.0,12420.0,https://anaconda.org/conda-forge/geoviews,2023-11-02 09:01:15.038,205416.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +366,qdrant,qdrant/qdrant,nlp,,https://github.com/qdrant/qdrant,https://github.com/qdrant/qdrant,Apache-2.0,2020-05-30 21:37:01.000,2023-12-07 15:14:41.000000,2023-12-07 14:03:32,2142.0,334.0,819.0,105.0,2199.0,166.0,657.0,14817.0,"Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud..",78.0,28,True,2023-10-11 18:42:02.000,1.6.1,57.0,,,,,,,,,,,,183.0,,,,,,,,2.0,5857.0,,,,,,,,,,,,,,,,,,, +367,Dopamine,google/dopamine,reinforcement-learning,,https://github.com/google/dopamine,https://github.com/google/dopamine,Apache-2.0,2018-07-26 09:58:36.000,2023-11-27 11:39:00.000000,2023-11-27 11:38:59,333.0,8.0,1387.0,437.0,50.0,98.0,87.0,10256.0,Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.,15.0,28,True,2022-09-21 20:20:42.649,4.0.6,44.0,dopamine-rl,,,,['tensorflow'],57.0,21.0,https://pypi.org/project/dopamine-rl,2022-09-21 20:20:42.649,36.0,36197.0,36197.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +368,TensorLayer,tensorlayer/tensorlayer,reinforcement-learning,,https://github.com/tensorlayer/TensorLayer,https://github.com/tensorlayer/TensorLayer,Apache-2.0,2016-06-07 15:55:16.000,2023-12-02 01:27:38.759000,2023-02-18 07:58:21,3353.0,,1638.0,461.0,698.0,33.0,441.0,7259.0,Deep Learning and Reinforcement Learning Library for Scientists and Engineers.,134.0,28,True,2022-02-15 02:05:47.000,2.2.5,84.0,tensorlayer,,,,['tensorflow'],40.0,,https://pypi.org/project/tensorlayer,2022-02-15 02:05:47.000,40.0,1616.0,1637.0,,,,,,,,2.0,1882.0,,,,,,,,,,,,,,,,,,, +369,Facets Overview,pair-code/facets,data-viz,,https://github.com/PAIR-code/facets,https://github.com/PAIR-code/facets,Apache-2.0,2017-07-07 14:03:03.000,2023-05-24 15:58:01.158000,2023-05-24 15:56:22,277.0,,909.0,268.0,98.0,82.0,81.0,7206.0,Visualizations for machine learning datasets.,31.0,28,True,2023-05-24 15:58:01.158,1.1.1,9.0,facets-overview,,,,['jupyter'],213.0,205.0,https://pypi.org/project/facets-overview,2023-05-24 15:58:01.158,8.0,204033.0,204033.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +370,NuPIC,numenta/nupic,ml-frameworks,,https://github.com/numenta/nupic-legacy,https://github.com/numenta/nupic-legacy,AGPL-3.0,2013-04-05 23:14:27.000,2023-09-01 15:42:16.000000,2023-08-31 21:49:25,6626.0,,1582.0,625.0,2111.0,464.0,1338.0,6331.0,"Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of..",123.0,28,False,2018-06-01 15:39:25.550,1.0.5,53.0,nupic,,,,,59.0,21.0,https://pypi.org/project/nupic,2016-09-01 21:30:21.000,38.0,1392.0,1392.0,,,,,,,,3.0,1.0,,,numenta/nupic-legacy,,,,,,,,,,,,,,,, +371,scikit-surprise,NicolasHug/Surprise,recommender-systems,,https://github.com/NicolasHug/Surprise,https://github.com/NicolasHug/Surprise,BSD-3-Clause,2016-10-23 14:59:38.000,2023-10-06 08:13:53.418000,2023-01-27 13:12:44,652.0,,973.0,145.0,93.0,73.0,305.0,6062.0,A Python scikit for building and analyzing recommender systems.,45.0,28,True,2022-09-23 17:17:00.724,1.1.3,11.0,scikit-surprise,conda-forge/scikit-surprise,,,,71.0,21.0,https://pypi.org/project/scikit-surprise,2022-09-23 17:17:00.724,50.0,150587.0,159022.0,https://anaconda.org/conda-forge/scikit-surprise,2023-10-06 08:13:53.418,345848.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +372,GluonCV,dmlc/gluon-cv,image,,https://github.com/dmlc/gluon-cv,https://github.com/dmlc/gluon-cv,Apache-2.0,2018-02-26 01:33:21.000,2023-02-03 18:46:00.371000,2023-01-19 00:37:33,900.0,,1198.0,155.0,950.0,60.0,782.0,5669.0,Gluon CV Toolkit.,119.0,28,True,2022-03-07 23:40:19.000,0.10.5,1535.0,gluoncv,,,,['mxnet'],82.0,21.0,https://pypi.org/project/gluoncv,2023-02-03 18:46:00.371,61.0,35879.0,35879.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +373,keras-rl,keras-rl/keras-rl,reinforcement-learning,,https://github.com/keras-rl/keras-rl,https://github.com/keras-rl/keras-rl,MIT,2016-07-02 15:53:12.000,2023-09-17 12:33:41.000000,2019-11-11 22:14:54,308.0,,1368.0,208.0,158.0,44.0,227.0,5451.0,Deep Reinforcement Learning for Keras.,41.0,28,False,2018-06-01 07:52:24.000,0.4.2,8.0,keras-rl,,,,['tensorflow'],779.0,725.0,https://pypi.org/project/keras-rl,2018-06-01 07:52:24.000,54.0,2233.0,2233.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +374,Edward,blei-lab/edward,probabilistics,,https://github.com/blei-lab/edward,https://github.com/blei-lab/edward,Apache-2.0,2016-02-10 20:06:05.000,2023-10-03 15:08:28.000000,2018-07-25 01:28:08,1796.0,,780.0,275.0,438.0,221.0,329.0,4803.0,"A probabilistic programming language in TensorFlow. Deep generative models, variational inference.",87.0,28,False,2018-01-22 06:03:37.000,1.3.5,28.0,edward,,,,['tensorflow'],342.0,302.0,https://pypi.org/project/edward,2018-01-22 06:03:05.000,40.0,289.0,289.0,,,,,,,,3.0,16.0,,,,,,,,,,,,,,,,,,, +375,VisualDL,PaddlePaddle/VisualDL,ml-experiments,,https://github.com/PaddlePaddle/VisualDL,https://github.com/PaddlePaddle/VisualDL,Apache-2.0,2017-12-20 12:34:31.000,2023-09-20 11:21:28.000000,2023-09-20 11:21:28,918.0,1.0,634.0,148.0,789.0,141.0,356.0,4669.0,Deep Learning Visualization Toolkit.,33.0,28,True,2023-06-05 07:21:00.910,2.5.3,43.0,visualdl,,,,['paddle'],2539.0,2493.0,https://pypi.org/project/visualdl,2023-06-05 07:21:00.910,46.0,184765.0,184773.0,,,,,,,,3.0,337.0,-2.0,,,,,,,,,,,,,,,,,, +376,Alpha Vantage,RomelTorres/alpha_vantage,financial-data,,https://github.com/RomelTorres/alpha_vantage,https://github.com/RomelTorres/alpha_vantage,MIT,2017-04-29 17:23:00.000,2023-11-11 01:23:34.000000,2023-11-11 01:23:34,523.0,1.0,702.0,177.0,79.0,8.0,270.0,4093.0,A python wrapper for Alpha Vantage API for financial data.,42.0,28,True,2020-12-21 02:37:29.000,2.3.1,34.0,alpha_vantage,conda-forge/alpha_vantage,,,,475.0,443.0,https://pypi.org/project/alpha_vantage,2020-12-21 02:36:15.000,32.0,23526.0,23697.0,https://anaconda.org/conda-forge/alpha_vantage,2023-06-16 19:24:19.804,5989.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +377,Lasagne,Lasagne/Lasagne,ml-frameworks,,https://github.com/Lasagne/Lasagne,https://github.com/Lasagne/Lasagne,MIT,2014-09-11 15:31:41.000,2022-03-26 02:58:32.000000,2019-11-20 20:28:30,1161.0,,971.0,218.0,408.0,140.0,402.0,3848.0,Lightweight library to build and train neural networks in Theano.,72.0,28,False,2015-08-13 21:00:09.000,0.1,2.0,lasagne,,,,,1281.0,1021.0,https://pypi.org/project/lasagne,2015-08-13 21:10:53.000,260.0,2256.0,2256.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +378,MMOCR,open-mmlab/mmocr,ocr,,https://github.com/open-mmlab/mmocr,https://github.com/open-mmlab/mmocr,Apache-2.0,2021-04-07 13:40:21.000,2023-10-28 04:01:29.000000,2023-09-01 03:04:11,1137.0,,703.0,60.0,1011.0,158.0,736.0,3843.0,"OpenMMLab Text Detection, Recognition and Understanding Toolbox.",90.0,28,True,2023-07-04 07:12:41.567,1.0.1,20.0,mmocr,,,,['pytorch'],99.0,97.0,https://pypi.org/project/mmocr,2022-05-05 14:21:18.000,2.0,5863.0,5863.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +379,missingno,ResidentMario/missingno,data-viz,,https://github.com/ResidentMario/missingno,https://github.com/ResidentMario/missingno,MIT,2016-03-27 15:18:50.000,2023-06-16 13:24:02.087000,2023-02-26 20:07:33,189.0,,455.0,72.0,37.0,9.0,121.0,3710.0,Missing data visualization module for Python.,18.0,28,True,2023-02-26 20:11:59.371,0.5.2,26.0,missingno,conda-forge/missingno,,,,14088.0,13946.0,https://pypi.org/project/missingno,2023-02-26 20:11:59.371,142.0,435716.0,439802.0,https://anaconda.org/conda-forge/missingno,2023-06-16 13:24:02.087,314667.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +380,Sumy,miso-belica/sumy,nlp,,https://github.com/miso-belica/sumy,https://github.com/miso-belica/sumy,Apache-2.0,2013-02-20 12:56:48.000,2023-12-02 01:21:07.000000,2023-11-10 07:34:11,445.0,8.0,521.0,113.0,84.0,18.0,100.0,3299.0,Module for automatic summarization of text documents and HTML pages.,30.0,28,True,2022-10-23 16:42:18.783,0.11.0,16.0,sumy,conda-forge/sumy,,,,2447.0,2337.0,https://pypi.org/project/sumy,2022-10-23 16:42:18.783,110.0,28384.0,28622.0,https://anaconda.org/conda-forge/sumy,2023-06-16 19:26:28.563,7154.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +381,Porcupine,Picovoice/Porcupine,audio,,https://github.com/Picovoice/porcupine,https://github.com/Picovoice/porcupine,Apache-2.0,2018-03-08 01:55:25.000,2023-12-01 05:15:22.000000,2023-11-17 23:16:41,1140.0,32.0,457.0,60.0,681.0,2.0,500.0,3261.0,On-device wake word detection powered by deep learning.,36.0,28,True,2023-11-16 19:28:06.000,3.0.1,33.0,pvporcupine,,,,,37.0,24.0,https://pypi.org/project/pvporcupine,2023-11-16 19:28:06.000,13.0,6041.0,6041.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +382,vidgear,abhiTronix/vidgear,image,,https://github.com/abhiTronix/vidgear,https://github.com/abhiTronix/vidgear,Apache-2.0,2019-03-17 02:42:42.000,2023-11-17 01:11:26.000000,2023-09-10 15:15:16,1059.0,7.0,228.0,62.0,111.0,5.0,266.0,3036.0,A High-performance cross-platform Video Processing Python framework powerpacked with unique trailblazing features.,14.0,28,True,2023-09-10 19:39:46.000,0.3.2,22.0,vidgear,,,,,490.0,481.0,https://pypi.org/project/vidgear,2023-09-10 19:39:46.000,9.0,11422.0,11438.0,,,,,,,,3.0,951.0,,,,,,,,,,,,,,,,,,, +383,anomalib,openvinotoolkit/anomalib,others,,https://github.com/openvinotoolkit/anomalib,https://github.com/openvinotoolkit/anomalib,Apache-2.0,2021-11-02 09:11:38.000,2023-12-07 11:47:21.000000,2023-11-18 07:08:57,506.0,29.0,482.0,34.0,648.0,60.0,540.0,2642.0,"An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-..",64.0,28,True,2023-08-29 07:29:59.000,0.7.0,27.0,anomalib,,,,,39.0,38.0,https://pypi.org/project/anomalib,2023-08-29 07:29:59.000,1.0,37019.0,37209.0,,,,,,,,3.0,4574.0,,,,,,,,,,,,,,,,,,, +384,DeepKE,zjunlp/deepke,nlp,,https://github.com/zjunlp/DeepKE,https://github.com/zjunlp/DeepKE,MIT,2018-08-01 01:54:52.000,2023-12-04 07:19:10.000000,2023-12-04 07:18:53,1499.0,63.0,579.0,43.0,28.0,,346.0,2537.0,An Open Toolkit for Knowledge Graph Extraction and Construction published at EMNLP2022 System Demonstrations.,30.0,28,True,2023-09-21 04:12:03.000,2.2.7,111.0,deepke,,,,['pytorch'],20.0,20.0,https://pypi.org/project/deepke,2023-09-21 04:12:03.000,,616.0,616.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +385,IB-insync,erdewit/ib_insync,financial-data,,https://github.com/erdewit/ib_insync,https://github.com/erdewit/ib_insync,BSD-2-Clause,2017-07-12 12:09:24.000,2023-12-07 09:52:06.000000,2023-12-01 12:57:19,765.0,6.0,584.0,176.0,75.0,12.0,541.0,2471.0,Python sync/async framework for Interactive Brokers API.,36.0,28,True,2023-07-02 12:44:10.283,0.9.86,111.0,ib_insync,conda-forge/ib-insync,,,,23.0,,https://pypi.org/project/ib_insync,2022-11-21 09:32:01.715,23.0,27533.0,28243.0,https://anaconda.org/conda-forge/ib-insync,2023-06-16 16:16:07.159,37633.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +386,scikit-plot,reiinakano/scikit-plot,interpretability,,https://github.com/reiinakano/scikit-plot,https://github.com/reiinakano/scikit-plot,MIT,2017-02-04 06:22:59.000,2023-09-13 13:50:05.000000,2018-08-19 12:37:47,130.0,,282.0,67.0,59.0,26.0,39.0,2362.0,An intuitive library to add plotting functionality to scikit-learn objects.,13.0,28,False,2018-08-19 12:25:39.290,0.3.7,27.0,scikit-plot,conda-forge/scikit-plot,,,['sklearn'],4264.0,4186.0,https://pypi.org/project/scikit-plot,2018-08-19 12:25:39.290,78.0,469298.0,471467.0,https://anaconda.org/conda-forge/scikit-plot,2023-06-16 13:22:21.652,167037.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +387,polyglot,aboSamoor/polyglot,nlp,,https://github.com/aboSamoor/polyglot,https://github.com/aboSamoor/polyglot,GPL-3.0,2014-06-30 02:07:45.000,2023-11-10 03:06:08.000000,2020-09-22 22:35:28,271.0,,328.0,79.0,55.0,161.0,68.0,2218.0,Multilingual text (NLP) processing toolkit.,26.0,28,False,2021-12-15 16:11:38.716,15.5.1,9.0,polyglot,,,,,1226.0,1133.0,https://pypi.org/project/polyglot,2021-12-15 16:11:38.716,93.0,60209.0,60209.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +388,langid,saffsd/langid.py,nlp,,https://github.com/saffsd/langid.py,https://github.com/saffsd/langid.py,BSD-3-Clause,2011-04-29 00:16:56.000,2020-01-01 10:49:30.000000,2017-07-15 02:49:17,242.0,,304.0,66.0,14.0,28.0,46.0,2184.0,Stand-alone language identification system.,9.0,28,False,2016-04-05 22:34:15.000,1.1.6,8.0,langid,,,,,8996.0,8800.0,https://pypi.org/project/langid,2016-04-05 22:34:15.000,196.0,316127.0,316127.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +389,ogb,snap-stanford/ogb,graph,,https://github.com/snap-stanford/ogb,https://github.com/snap-stanford/ogb,MIT,2019-11-22 22:13:57.000,2023-12-02 08:46:41.000000,2023-12-02 08:46:41,671.0,1.0,400.0,42.0,59.0,19.0,268.0,1794.0,"Benchmark datasets, data loaders, and evaluators for graph machine learning.",32.0,28,True,2023-04-07 06:00:55.135,1.3.6,19.0,ogb,conda-forge/ogb,,,,1272.0,1250.0,https://pypi.org/project/ogb,2022-11-02 22:00:56.960,22.0,42046.0,42800.0,https://anaconda.org/conda-forge/ogb,2023-06-16 19:21:31.692,29435.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +390,Opacus,pytorch/opacus,privacy-ml,,https://github.com/pytorch/opacus,https://github.com/pytorch/opacus,Apache-2.0,2019-12-07 01:58:09.000,2023-12-06 02:36:17.000000,2023-12-06 01:55:01,701.0,4.0,296.0,43.0,352.0,66.0,201.0,1520.0,Training PyTorch models with differential privacy.,74.0,28,True,2023-03-24 16:01:05.890,1.4.0,20.0,opacus,conda-forge/opacus,,,['pytorch'],718.0,701.0,https://pypi.org/project/opacus,2022-05-06 09:43:18.000,17.0,46592.0,47133.0,https://anaconda.org/conda-forge/opacus,2023-06-18 08:40:32.992,12403.0,,,,,2.0,106.0,,,,,,,,,,,,,,,,,,, +391,metric-learn,scikit-learn-contrib/metric-learn,others,,https://github.com/scikit-learn-contrib/metric-learn,https://github.com/scikit-learn-contrib/metric-learn,MIT,2013-11-02 08:29:47.000,2023-10-09 07:21:10.000000,2023-09-29 00:13:39,295.0,9.0,257.0,50.0,184.0,54.0,120.0,1348.0,Metric learning algorithms in Python.,22.0,28,True,2023-10-09 04:53:59.000,0.7.0,11.0,metric-learn,conda-forge/metric-learn,,,['sklearn'],336.0,323.0,https://pypi.org/project/metric-learn,2023-10-09 04:53:59.000,13.0,12700.0,12965.0,https://anaconda.org/conda-forge/metric-learn,2023-10-09 05:53:11.819,10870.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +392,underthesea,undertheseanlp/underthesea,nlp,,https://github.com/undertheseanlp/underthesea,https://github.com/undertheseanlp/underthesea,GPL-3.0,2017-03-01 10:24:26.000,2023-10-05 01:24:33.000000,2023-10-05 01:24:32,851.0,4.0,260.0,73.0,481.0,38.0,198.0,1275.0,Underthesea - Vietnamese NLP Toolkit.,18.0,28,False,2023-09-22 23:57:31.000,6.8.0,125.0,underthesea,,,,,891.0,865.0,https://pypi.org/project/underthesea,2023-09-22 23:50:49.000,26.0,11364.0,11433.0,,,,,,,,2.0,5476.0,,,,,,,,,,,,,,,,,,, +393,imodels,csinva/imodels,interpretability,,https://github.com/csinva/imodels,https://github.com/csinva/imodels,MIT,2019-07-04 15:38:48.000,2023-12-04 00:37:27.000000,2023-11-16 02:42:03,1010.0,18.0,106.0,25.0,113.0,26.0,52.0,1218.0,"Interpretable ML package for concise, transparent, and accurate predictive modeling (sklearn-compatible).",22.0,28,True,2023-10-05 02:21:28.000,1.4.1,44.0,imodels,,,,,63.0,59.0,https://pypi.org/project/imodels,2023-10-05 02:20:48.000,4.0,178042.0,178042.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +394,kmodes,nicodv/kmodes,others,,https://github.com/nicodv/kmodes,https://github.com/nicodv/kmodes,MIT,2013-08-01 11:54:40.000,2023-06-16 19:18:39.600000,2023-04-20 04:36:19,526.0,,404.0,52.0,37.0,17.0,139.0,1190.0,"Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data.",22.0,28,True,2022-09-06 19:52:23.000,0.12.2,17.0,kmodes,conda-forge/kmodes,,,,2380.0,2347.0,https://pypi.org/project/kmodes,2022-09-06 19:38:02.764,33.0,186637.0,187513.0,https://anaconda.org/conda-forge/kmodes,2023-06-16 19:18:39.600,38583.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +395,empyrical,quantopian/empyrical,financial-data,,https://github.com/quantopian/empyrical,https://github.com/quantopian/empyrical,Apache-2.0,2016-03-18 10:22:52.000,2023-11-26 03:27:34.000000,2020-10-14 13:22:39,167.0,,336.0,71.0,86.0,27.0,26.0,1170.0,Common financial risk and performance metrics. Used by zipline and pyfolio.,22.0,28,False,2020-10-13 21:29:19.000,0.5.5,21.0,empyrical,conda-forge/empyrical,,,,1396.0,1252.0,https://pypi.org/project/empyrical,2020-10-13 21:29:19.000,144.0,26935.0,27300.0,https://anaconda.org/conda-forge/empyrical,2023-06-16 16:07:55.979,25610.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +396,PySwarms,ljvmiranda921/pyswarms,others,,https://github.com/ljvmiranda921/pyswarms,https://github.com/ljvmiranda921/pyswarms,MIT,2017-07-12 12:04:45.000,2023-10-23 11:16:32.000000,2023-06-06 09:46:40,415.0,,324.0,40.0,299.0,23.0,200.0,1165.0,A research toolkit for particle swarm optimization in Python.,45.0,28,True,2021-01-03 21:34:15.000,1.3.0,20.0,pyswarms,,,,,334.0,320.0,https://pypi.org/project/pyswarms,2021-01-03 21:34:15.000,14.0,39858.0,39858.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +397,Submit it,facebookincubator/submitit,distributed-ml,,https://github.com/facebookincubator/submitit,https://github.com/facebookincubator/submitit,MIT,2020-04-24 07:41:09.000,2023-11-24 07:58:55.401000,2023-11-09 17:20:43,139.0,10.0,106.0,21.0,103.0,35.0,73.0,995.0,Python 3.8+ toolbox for submitting jobs to Slurm.,23.0,28,True,2023-11-09 17:23:02.000,1.5.1,23.0,submitit,conda-forge/submitit,,,,1869.0,1851.0,https://pypi.org/project/submitit,2023-11-09 17:23:02.000,18.0,198509.0,199330.0,https://anaconda.org/conda-forge/submitit,2023-11-24 07:58:55.401,32879.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +398,dask-ml,dask/dask-ml,distributed-ml,,https://github.com/dask/dask-ml,https://github.com/dask/dask-ml,BSD-3-Clause,2017-06-15 15:56:06.000,2023-06-27 23:50:02.000000,2023-03-24 22:04:13,811.0,,245.0,41.0,502.0,272.0,252.0,872.0,Scalable Machine Learning with Dask.,77.0,28,True,2023-03-24 22:06:04.422,2023.3.24,35.0,dask-ml,conda-forge/dask-ml,,,,983.0,910.0,https://pypi.org/project/dask-ml,2023-03-24 22:06:04.422,73.0,158717.0,169366.0,https://anaconda.org/conda-forge/dask-ml,2023-06-16 13:24:06.152,788061.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +399,CLTK,cltk/cltk,nlp,,https://github.com/cltk/cltk,https://github.com/cltk/cltk,MIT,2014-01-11 23:59:47.000,2023-12-05 18:56:59.000000,2023-11-04 10:15:39,3699.0,38.0,324.0,67.0,676.0,34.0,525.0,812.0,The Classical Language Toolkit.,120.0,28,True,2023-11-04 10:32:32.000,1.1.7,209.0,cltk,,,,,293.0,251.0,https://pypi.org/project/cltk,2023-11-04 10:24:57.000,42.0,917.0,917.0,,,,,,,,2.0,48.0,,,,,,,,,,,,,,,,,,, +400,Cornac,PreferredAI/cornac,recommender-systems,,https://github.com/PreferredAI/cornac,https://github.com/PreferredAI/cornac,Apache-2.0,2018-07-17 06:31:35.000,2023-12-07 14:33:47.000000,2023-12-06 07:49:43,1307.0,41.0,122.0,25.0,431.0,7.0,121.0,765.0,A Comparative Framework for Multimodal Recommender Systems.,17.0,28,True,2023-10-20 02:59:14.000,1.17.0,53.0,cornac,conda-forge/cornac,,,,200.0,184.0,https://pypi.org/project/cornac,2023-10-20 03:18:35.000,16.0,107082.0,114974.0,https://anaconda.org/conda-forge/cornac,2023-10-25 04:30:35.094,331497.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +401,skforecast,JoaquinAmatRodrigo/skforecast,time-series-data,,https://github.com/JoaquinAmatRodrigo/skforecast,https://github.com/JoaquinAmatRodrigo/skforecast,BSD-3-Clause,2021-02-10 11:40:34.000,2023-12-07 11:48:31.000000,2023-11-29 09:03:49,2598.0,223.0,92.0,10.0,496.0,14.0,90.0,745.0,Time series forecasting with scikit-learn models.,9.0,28,True,2023-11-16 21:42:02.000,0.11.0,25.0,skforecast,,,,['sklearn'],227.0,221.0,https://pypi.org/project/skforecast,2023-11-16 21:34:56.000,6.0,42743.0,42743.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +402,quinn,MrPowers/quinn,ml-experiments,,https://github.com/MrPowers/quinn,https://github.com/MrPowers/quinn,Apache-2.0,2017-09-15 13:02:42.000,2023-12-07 14:25:04.000000,2023-11-23 21:32:53,240.0,87.0,76.0,21.0,80.0,35.0,54.0,536.0,pyspark methods to enhance developer productivity.,24.0,28,True,2023-02-17 21:55:30.000,0.10.0,13.0,quinn,,,,['spark'],79.0,73.0,https://pypi.org/project/quinn,2023-02-17 21:54:00.812,6.0,872791.0,872791.0,,,,,,,,3.0,9.0,,,,,,,,,,,,,,,,,,, +403,NIPY,nipy/nipy,medical-data,,https://github.com/nipy/nipy,https://github.com/nipy/nipy,BSD-3-Clause,2010-05-02 10:00:33.000,2023-11-23 00:11:01.000000,2023-11-23 00:11:01,6681.0,234.0,135.0,36.0,390.0,45.0,123.0,359.0,Neuroimaging in Python FMRI analysis package.,69.0,28,True,2021-03-29 16:34:34.000,0.5.0,7.0,nipy,conda-forge/nipy,,,,264.0,213.0,https://pypi.org/project/nipy,2021-03-29 16:34:34.000,51.0,4752.0,6127.0,https://anaconda.org/conda-forge/nipy,2023-06-16 13:21:17.395,105915.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +404,TTS,mozilla/TTS,audio,,https://github.com/mozilla/TTS,https://github.com/mozilla/TTS,MPL-2.0,2018-01-23 14:22:06.000,2023-11-09 15:37:59.000000,2021-02-12 10:36:31,2184.0,,1123.0,179.0,213.0,20.0,533.0,8280.0,Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts).,56.0,27,False,2021-01-29 00:03:56.000,0.0.9,1.0,,,,,,21.0,21.0,,,,,225.0,,,,,,,,3.0,7904.0,,,,,,,,,,,,,,,,,,, +405,pysc2,deepmind/pysc2,others,,https://github.com/google-deepmind/pysc2,https://github.com/google-deepmind/pysc2,Apache-2.0,2017-07-25 18:16:57.000,2023-07-09 00:54:49.000000,2023-04-19 16:47:52,581.0,,1153.0,352.0,79.0,47.0,231.0,7844.0,StarCraft II Learning Environment.,39.0,27,True,2022-07-13 12:08:43.000,4.0,8.0,pysc2,,,,,665.0,639.0,https://pypi.org/project/pysc2,2022-07-13 12:02:04.256,26.0,1710.0,2116.0,,,,,,,,3.0,30860.0,,,google-deepmind/pysc2,,,,,,,,,,,,,,,, +406,EfficientNet-PyTorch,lukemelas/EfficientNet-PyTorch,pytorch-utils,,https://github.com/lukemelas/EfficientNet-PyTorch,https://github.com/lukemelas/EfficientNet-PyTorch,Apache-2.0,2019-05-30 05:24:11.000,2022-04-08 12:30:25.000000,2021-04-15 15:16:36,162.0,,1500.0,131.0,51.0,155.0,141.0,7611.0,A PyTorch implementation of EfficientNet and EfficientNetV2 (coming soon!).,24.0,27,False,2021-04-15 15:17:23.000,0.7.1,13.0,efficientnet-pytorch,,,,['pytorch'],44.0,1.0,https://pypi.org/project/efficientnet-pytorch,2021-04-15 15:17:23.000,43.0,200174.0,279096.0,,,,,,,,2.0,3551529.0,,,,,,,,,,,,,,,,,,, +407,snownlp,isnowfy/snownlp,chinese-nlp,,https://github.com/isnowfy/snownlp,https://github.com/isnowfy/snownlp,MIT,2013-11-26 11:46:56.000,2020-01-19 02:39:05.000000,2020-01-19 02:39:03,57.0,,1340.0,348.0,14.0,41.0,65.0,6228.0,Python library for processing Chinese text.,8.0,27,False,2015-09-27 16:35:23.000,0.12.3,17.0,snownlp,,,,,1288.0,1246.0,https://pypi.org/project/snownlp,2015-09-27 16:35:23.000,42.0,17025.0,17025.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +408,flashtext,vi3k6i5/flashtext,nlp,,https://github.com/vi3k6i5/flashtext,https://github.com/vi3k6i5/flashtext,MIT,2017-08-15 18:03:01.000,2023-10-23 02:26:28.000000,2020-05-03 07:13:22,108.0,,609.0,140.0,31.0,66.0,53.0,5480.0,Extract Keywords from sentence or Replace keywords in sentences.,7.0,27,False,,,18.0,flashtext,conda-forge/flashtext,,,,1471.0,1424.0,https://pypi.org/project/flashtext,2018-02-16 05:24:17.000,47.0,1078744.0,1079185.0,https://anaconda.org/conda-forge/flashtext,2023-06-16 19:20:49.106,18108.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +409,Augmentor,mdbloice/Augmentor,image,,https://github.com/mdbloice/Augmentor,https://github.com/mdbloice/Augmentor,MIT,2016-03-01 18:29:55.000,2023-10-16 20:29:38.000000,2023-03-29 07:02:37,553.0,,867.0,123.0,63.0,136.0,74.0,4979.0,Image augmentation library in Python for machine learning.,23.0,27,True,2023-03-29 07:06:01.465,0.2.12,24.0,Augmentor,,,,,700.0,671.0,https://pypi.org/project/Augmentor,2022-04-27 09:29:23.000,29.0,10255.0,10255.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +410,vaderSentiment,cjhutto/vaderSentiment,nlp,,https://github.com/cjhutto/vaderSentiment,https://github.com/cjhutto/vaderSentiment,MIT,2014-11-17 16:31:45.000,2023-06-16 19:25:16.902000,2022-04-01 13:57:36,131.0,,952.0,144.0,30.0,46.0,77.0,4136.0,VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based..,11.0,27,False,2020-05-22 15:07:00.000,3.3.2,15.0,vadersentiment,conda-forge/vadersentiment,,,,7816.0,7626.0,https://pypi.org/project/vadersentiment,2020-05-22 15:07:00.000,190.0,168213.0,168620.0,https://anaconda.org/conda-forge/vadersentiment,2023-06-16 19:25:16.902,13456.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +411,yellowbrick,DistrictDataLabs/yellowbrick,interpretability,,https://github.com/DistrictDataLabs/yellowbrick,https://github.com/DistrictDataLabs/yellowbrick,Apache-2.0,2016-05-18 14:12:17.000,2023-07-29 21:28:21.000000,2023-07-05 18:14:28,901.0,,548.0,104.0,617.0,89.0,606.0,4120.0,Visual analysis and diagnostic tools to facilitate machine learning model selection.,113.0,27,True,2022-08-21 12:49:43.000,1.5,24.0,yellowbrick,conda-forge/yellowbrick,,,['sklearn'],85.0,,https://pypi.org/project/yellowbrick,2022-08-21 16:11:55.287,85.0,491320.0,493138.0,https://anaconda.org/conda-forge/yellowbrick,2023-06-16 19:21:13.554,72756.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +412,layout-parser,Layout-Parser/layout-parser,image,,https://github.com/Layout-Parser/layout-parser,https://github.com/Layout-Parser/layout-parser,Apache-2.0,2020-06-10 20:22:54.000,2023-12-05 10:04:41.000000,2022-08-06 21:47:18,182.0,,404.0,66.0,58.0,86.0,55.0,4108.0,A Unified Toolkit for Deep Learning Based Document Image Analysis.,8.0,27,False,2022-04-06 04:38:09.000,0.3.4,11.0,layoutparser,,,,,821.0,817.0,https://pypi.org/project/layoutparser,2022-04-06 04:38:09.000,4.0,150079.0,150079.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +413,pytorch-summary,sksq96/pytorch-summary,pytorch-utils,,https://github.com/sksq96/pytorch-summary,https://github.com/sksq96/pytorch-summary,MIT,2018-04-23 13:58:04.000,2023-08-21 13:36:56.000000,2021-05-10 18:34:53,57.0,,403.0,39.0,55.0,118.0,43.0,3886.0,Model summary in PyTorch similar to `model.summary()` in Keras.,11.0,27,False,2018-09-26 05:07:28.000,1.5.1,12.0,torchsummary,,,,['pytorch'],11909.0,11794.0,https://pypi.org/project/torchsummary,2018-09-26 05:07:28.000,115.0,144910.0,144910.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +414,TensorFlowOnSpark,yahoo/TensorFlowOnSpark,distributed-ml,,https://github.com/yahoo/TensorFlowOnSpark,https://github.com/yahoo/TensorFlowOnSpark,Apache-2.0,2017-01-20 18:15:57.000,2023-07-10 10:34:11.000000,2023-04-27 20:08:56,632.0,,964.0,283.0,226.0,11.0,356.0,3856.0,TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.,34.0,27,True,2022-04-21 20:41:22.000,2.2.5,32.0,tensorflowonspark,conda-forge/tensorflowonspark,,,"['tensorflow', 'spark']",5.0,,https://pypi.org/project/tensorflowonspark,2022-04-21 20:05:56.000,5.0,582635.0,583064.0,https://anaconda.org/conda-forge/tensorflowonspark,2023-06-16 16:19:28.736,20610.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +415,Acme,deepmind/acme,reinforcement-learning,,https://github.com/google-deepmind/acme,https://github.com/google-deepmind/acme,Apache-2.0,2020-05-01 09:18:12.000,2023-11-17 21:09:51.000000,2023-11-16 17:34:05,1193.0,8.0,400.0,82.0,54.0,56.0,201.0,3266.0,A library of reinforcement learning components and agents.,84.0,27,True,2022-02-10 06:52:27.000,0.4.0,15.0,dm-acme,conda-forge/dm-acme,,,['tensorflow'],182.0,179.0,https://pypi.org/project/dm-acme,2022-02-10 06:52:27.000,3.0,1081.0,1295.0,https://anaconda.org/conda-forge/dm-acme,2023-06-16 19:23:44.096,7924.0,,,,,2.0,,,,google-deepmind/acme,,,,,,,,,,,,,,,, +416,LIT,PAIR-code/lit,interpretability,,https://github.com/PAIR-code/lit,https://github.com/PAIR-code/lit,Apache-2.0,2020-07-28 13:07:26.000,2023-12-06 19:29:32.000000,2023-11-08 16:40:21,1347.0,28.0,336.0,71.0,1241.0,91.0,77.0,3247.0,The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and..,34.0,27,True,2023-11-08 16:44:23.000,1.0.2,11.0,lit-nlp,conda-forge/lit-nlp,,,,26.0,25.0,https://pypi.org/project/lit-nlp,2023-11-08 16:44:23.000,1.0,3104.0,4794.0,https://anaconda.org/conda-forge/lit-nlp,2023-06-16 19:21:41.530,65915.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +417,aubio,aubio/aubio,audio,,https://github.com/aubio/aubio,https://github.com/aubio/aubio,GPL-3.0,2009-12-04 21:07:44.000,2023-09-25 11:28:13.000000,2022-01-25 17:32:20,4123.0,,357.0,81.0,62.0,151.0,186.0,3064.0,a library for audio and music analysis.,24.0,27,False,2019-02-27 09:00:43.000,0.4.9,10.0,aubio,conda-forge/aubio,,,,445.0,418.0,https://pypi.org/project/aubio,2019-02-08 11:21:02.000,27.0,6295.0,14118.0,https://anaconda.org/conda-forge/aubio,2023-06-16 13:24:40.255,633695.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +418,fastNLP,fastnlp/fastNLP,nlp,,https://github.com/fastnlp/fastNLP,https://github.com/fastnlp/fastNLP,Apache-2.0,2018-03-07 13:30:20.000,2023-06-05 03:00:37.000000,2022-12-13 03:52:09,2484.0,,455.0,83.0,245.0,61.0,154.0,3012.0,fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.,61.0,27,True,2022-10-31 14:47:34.183,1.0.1,24.0,fastnlp,,,,,166.0,164.0,https://pypi.org/project/fastnlp,2022-10-31 14:47:34.183,2.0,37567.0,37568.0,,,,,,,,3.0,75.0,,,,,,,,,,,,,,,,,,, +419,DeepVariant,google/deepvariant,medical-data,,https://github.com/google/deepvariant,https://github.com/google/deepvariant,BSD-3-Clause,2017-11-23 01:56:22.000,2023-11-02 19:18:07.000000,2023-11-02 19:13:15,2359.0,93.0,681.0,164.0,60.0,7.0,680.0,2976.0,DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA..,28.0,27,True,2023-10-23 21:02:38.000,1.6.0,20.0,,bioconda/deepvariant,,,['tensorflow'],,,,,,,901.0,https://anaconda.org/bioconda/deepvariant,2023-06-16 16:08:50.013,59411.0,,,,,3.0,4693.0,,,,,,,,,,,,,,,,,,, +420,RecBole,RUCAIBox/RecBole,recommender-systems,,https://github.com/RUCAIBox/RecBole,https://github.com/RUCAIBox/RecBole,MIT,2020-06-11 15:18:11.000,2023-11-25 05:36:28.000000,2023-11-25 05:36:27,4323.0,82.0,549.0,41.0,991.0,181.0,659.0,2956.0,"A unified, comprehensive and efficient recommendation library.",70.0,27,True,2023-11-04 11:23:19.000,1.2.0,10.0,recbole,aibox/recbole,,,['pytorch'],2.0,,https://pypi.org/project/recbole,2023-10-31 12:52:34.000,2.0,3230.0,3345.0,https://anaconda.org/aibox/recbole,2023-11-01 15:53:42.380,4269.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +421,StellarGraph,stellargraph/stellargraph,graph,,https://github.com/stellargraph/stellargraph,https://github.com/stellargraph/stellargraph,Apache-2.0,2018-04-13 07:35:51.000,2023-09-14 20:07:18.000000,2021-10-29 06:15:49,2535.0,,412.0,64.0,932.0,315.0,745.0,2816.0,StellarGraph - Machine Learning on Graphs.,36.0,27,False,2021-02-22 06:35:38.731,1.2.1,25.0,stellargraph,,,,['tensorflow'],254.0,246.0,https://pypi.org/project/stellargraph,2021-02-22 06:35:38.731,8.0,4854.0,4854.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +422,eli5,TeamHG-Memex/eli5,interpretability,,https://github.com/TeamHG-Memex/eli5,https://github.com/TeamHG-Memex/eli5,MIT,2016-09-15 01:04:57.000,2023-06-16 13:18:29.838000,2020-01-22 07:39:36,1198.0,,329.0,66.0,167.0,164.0,113.0,2699.0,A library for debugging/inspecting machine learning classifiers and explaining their predictions.,14.0,27,False,2022-05-11 09:37:12.000,0.13.0,30.0,eli5,conda-forge/eli5,,,,90.0,,https://pypi.org/project/eli5,2022-05-11 09:37:12.000,90.0,443346.0,445190.0,https://anaconda.org/conda-forge/eli5,2023-06-16 13:18:29.838,145750.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +423,TF Ranking,tensorflow/ranking,recommender-systems,,https://github.com/tensorflow/ranking,https://github.com/tensorflow/ranking,Apache-2.0,2018-12-03 20:48:57.000,2023-09-26 21:01:12.000000,2023-09-26 21:01:10,548.0,8.0,468.0,97.0,43.0,82.0,240.0,2687.0,Learning to Rank in TensorFlow.,33.0,27,True,2023-08-11 17:56:48.000,0.5.3,22.0,tensorflow_ranking,,,,['tensorflow'],13.0,,https://pypi.org/project/tensorflow_ranking,2023-08-11 17:56:48.000,13.0,112147.0,112147.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +424,Foolbox,bethgelab/foolbox,adversarial,,https://github.com/bethgelab/foolbox,https://github.com/bethgelab/foolbox,MIT,2017-06-14 13:05:48.000,2023-11-09 09:05:16.000000,2023-11-09 09:05:15,1698.0,2.0,413.0,45.0,350.0,32.0,345.0,2579.0,"A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX.",33.0,27,True,2022-04-02 15:26:45.000,3.3.3,70.0,foolbox,conda-forge/foolbox,,,,548.0,534.0,https://pypi.org/project/foolbox,2022-04-02 15:26:45.000,14.0,1910.0,2212.0,https://anaconda.org/conda-forge/foolbox,2023-06-16 19:20:41.396,12408.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +425,Essentia,MTG/essentia,audio,,https://github.com/MTG/essentia,https://github.com/MTG/essentia,AGPL-3.0,2013-06-03 14:53:47.000,2023-12-05 20:51:09.000000,2023-12-01 12:25:37,3438.0,23.0,513.0,109.0,338.0,406.0,663.0,2567.0,"C++ library for audio and music analysis, description and synthesis, including Python bindings.",79.0,27,False,2015-03-31 16:33:30.000,2.0,20.0,essentia,,,,,554.0,538.0,https://pypi.org/project/essentia,2023-10-27 09:13:56.000,16.0,5525.0,5525.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +426,TabNet,dreamquark-ai/tabnet,pytorch-utils,,https://github.com/dreamquark-ai/tabnet,https://github.com/dreamquark-ai/tabnet,MIT,2019-10-17 11:17:32.000,2023-12-07 06:07:59.000000,2023-07-23 14:42:27,191.0,,442.0,37.0,238.0,52.0,265.0,2351.0,PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf.,21.0,27,True,2023-07-23 13:34:05.000,4.1.0,19.0,pytorch-tabnet,conda-forge/pytorch-tabnet,,,['pytorch'],11.0,,https://pypi.org/project/pytorch-tabnet,2023-07-23 13:26:57.000,11.0,42532.0,42777.0,https://anaconda.org/conda-forge/pytorch-tabnet,2023-06-16 19:28:15.390,5891.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +427,Fairness 360,Trusted-AI/AIF360,interpretability,,https://github.com/Trusted-AI/AIF360,https://github.com/Trusted-AI/AIF360,Apache-2.0,2018-08-22 20:47:15.000,2023-11-24 12:19:05.000000,2023-11-21 19:33:43,419.0,6.0,774.0,92.0,265.0,165.0,93.0,2209.0,"A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and..",70.0,27,True,2022-09-03 03:41:16.000,0.5.0,10.0,aif360,conda-forge/aif360,,,,346.0,332.0,https://pypi.org/project/aif360,2022-09-03 03:40:40.010,14.0,10042.0,10239.0,https://anaconda.org/conda-forge/aif360,2023-10-14 06:57:34.052,7687.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +428,Hyperas,maxpumperla/hyperas,hyperopt,,https://github.com/maxpumperla/hyperas,https://github.com/maxpumperla/hyperas,MIT,2016-02-19 14:45:10.000,2023-01-05 06:02:49.000000,2023-01-05 06:02:49,213.0,,317.0,65.0,38.0,96.0,160.0,2160.0,Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization.,22.0,27,True,2019-02-28 09:16:54.000,0.4.1,9.0,hyperas,,,,['tensorflow'],354.0,330.0,https://pypi.org/project/hyperas,2019-02-28 09:16:54.000,24.0,9594.0,9594.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +429,Neural Tangents,google/neural-tangents,ml-frameworks,,https://github.com/google/neural-tangents,https://github.com/google/neural-tangents,Apache-2.0,2019-04-08 16:48:48.000,2023-11-21 11:40:24.000000,2023-11-21 11:40:19,642.0,16.0,234.0,67.0,31.0,60.0,92.0,2145.0,Fast and Easy Infinite Neural Networks in Python.,29.0,27,True,2023-08-25 00:01:21.000,0.6.4,30.0,neural-tangents,,,,,91.0,90.0,https://pypi.org/project/neural-tangents,2023-08-24 23:48:46.000,1.0,2305.0,2312.0,,,,,,,,3.0,335.0,,,,,,,,,,,,,,,,,,, +430,textacy,chartbeat-labs/textacy,nlp,,https://github.com/chartbeat-labs/textacy,https://github.com/chartbeat-labs/textacy,,2016-02-03 16:52:45.000,2023-09-22 23:38:28.000000,2023-04-03 00:19:55,1816.0,,255.0,92.0,124.0,33.0,230.0,2127.0,"NLP, before and after spaCy.",35.0,27,False,2023-04-02 23:06:15.139,0.13.0,32.0,textacy,conda-forge/textacy,,,,1716.0,1601.0,https://pypi.org/project/textacy,2023-04-02 23:06:15.139,115.0,40318.0,42049.0,https://anaconda.org/conda-forge/textacy,2023-06-16 13:22:44.862,136790.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +431,PyTextRank,DerwenAI/pytextrank,nlp,,https://github.com/DerwenAI/pytextrank,https://github.com/DerwenAI/pytextrank,MIT,2016-10-02 18:39:12.000,2023-12-06 14:39:14.000000,2023-08-22 16:20:29,468.0,,386.0,62.0,151.0,13.0,91.0,2069.0,Python implementation of TextRank algorithms (textgraphs) for phrase extraction.,19.0,27,True,2023-08-07 19:52:09.000,3.2.5,21.0,pytextrank,,,,,544.0,527.0,https://pypi.org/project/pytextrank,2023-08-07 19:52:09.000,17.0,44829.0,44829.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +432,TensorFlow Privacy,tensorflow/privacy,privacy-ml,,https://github.com/tensorflow/privacy,https://github.com/tensorflow/privacy,Apache-2.0,2018-12-21 18:46:46.000,2023-12-06 15:30:04.000000,2023-12-06 15:29:57,852.0,24.0,432.0,62.0,315.0,113.0,92.0,1827.0,Library for training machine learning models with privacy for training data.,57.0,27,True,2023-10-11 15:51:39.000,0.8.12,30.0,tensorflow-privacy,,,,['tensorflow'],14.0,,https://pypi.org/project/tensorflow-privacy,2023-10-11 15:51:39.000,14.0,17931.0,17933.0,,,,,,,,2.0,127.0,,,,,,,,,,,,,,,,,,, +433,Labml,labmlai/labml,ml-experiments,,https://github.com/labmlai/labml,https://github.com/labmlai/labml,MIT,2018-11-16 09:34:48.000,2023-12-05 14:09:15.000000,2023-12-05 14:09:09,1606.0,199.0,116.0,29.0,109.0,18.0,20.0,1710.0,Monitor deep learning model training and hardware usage from your mobile phone.,9.0,27,True,2023-09-10 04:20:57.000,0.4.168,144.0,labml,,,,,120.0,114.0,https://pypi.org/project/labml,2023-09-10 04:20:57.000,6.0,2645.0,2645.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +434,FARM,deepset-ai/FARM,nlp,,https://github.com/deepset-ai/FARM,https://github.com/deepset-ai/FARM,Apache-2.0,2019-07-17 14:51:12.000,2023-10-25 15:56:37.000000,2022-08-31 09:45:24,594.0,,237.0,54.0,445.0,3.0,402.0,1699.0,Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.,37.0,27,False,2023-03-07 23:47:39.075,0.7.1,25.0,farm,conda-forge/farm,,,['pytorch'],214.0,211.0,https://pypi.org/project/farm,2020-09-14 15:23:01.000,3.0,1839.0,1937.0,https://anaconda.org/conda-forge/farm,2023-06-16 19:25:45.236,3150.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +435,AutoViz,AutoViML/AutoViz,data-viz,,https://github.com/AutoViML/AutoViz,https://github.com/AutoViML/AutoViz,Apache-2.0,2019-07-17 17:14:06.000,2023-11-05 16:37:31.000000,2023-11-05 16:36:40,172.0,2.0,186.0,30.0,18.0,6.0,81.0,1510.0,"Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators..",14.0,27,True,2023-10-30 14:27:25.000,0.1.732,75.0,autoviz,conda-forge/autoviz,,,,588.0,581.0,https://pypi.org/project/autoviz,2023-10-30 14:27:25.000,7.0,309358.0,310950.0,https://anaconda.org/conda-forge/autoviz,2023-07-21 21:17:07.584,44587.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +436,chainercv,chainer/chainercv,image,,https://github.com/chainer/chainercv,https://github.com/chainer/chainercv,MIT,2017-02-13 04:15:10.000,2021-07-01 16:54:50.000000,2020-01-07 11:48:31,4930.0,,318.0,74.0,742.0,54.0,168.0,1476.0,ChainerCV: a Library for Deep Learning in Computer Vision.,39.0,27,False,2019-06-12 11:55:40.000,0.13.1,25.0,chainercv,,,,,408.0,377.0,https://pypi.org/project/chainercv,2019-06-12 11:55:40.000,31.0,2946.0,2946.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +437,TabPy,tableau/TabPy,others,,https://github.com/tableau/TabPy,https://github.com/tableau/TabPy,MIT,2016-09-27 21:26:03.000,2023-10-10 21:15:24.000000,2023-10-10 21:15:24,946.0,6.0,567.0,107.0,280.0,11.0,300.0,1465.0,Execute Python code on the fly and display results in Tableau visualizations:.,49.0,27,True,2023-06-28 20:49:21.000,2.9.0,31.0,tabpy,anaconda/tabpy-client,,,,147.0,145.0,https://pypi.org/project/tabpy,2023-01-30 23:34:02.112,2.0,13813.0,13868.0,https://anaconda.org/anaconda/tabpy-client,2023-06-16 13:20:17.078,4456.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +438,cuGraph,rapidsai/cugraph,gpu-utilities,,https://github.com/rapidsai/cugraph,https://github.com/rapidsai/cugraph,Apache-2.0,2018-11-15 18:07:11.000,2023-12-07 03:42:10.000000,2023-12-07 00:12:44,6214.0,147.0,258.0,47.0,2470.0,307.0,1340.0,1459.0,cuGraph - RAPIDS Graph Analytics Library.,107.0,27,True,2023-12-06 19:21:19.000,23.12.00,33.0,cugraph,conda-forge/libcugraph,,,,4.0,2.0,https://pypi.org/project/cugraph,2020-06-01 20:09:06.000,2.0,367.0,913.0,https://anaconda.org/conda-forge/libcugraph,2023-06-16 19:25:39.870,17477.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +439,minisom,JustGlowing/minisom,others,,https://github.com/JustGlowing/minisom,https://github.com/JustGlowing/minisom,CC-BY-3.0,2013-07-03 10:10:06.000,2023-11-29 14:06:36.000000,2023-11-29 14:06:36,527.0,12.0,396.0,32.0,47.0,13.0,118.0,1314.0,MiniSom is a minimalistic implementation of the Self Organizing Maps.,28.0,27,False,2023-03-02 15:10:38.000,2.3.1,24.0,minisom,,,,,516.0,495.0,https://pypi.org/project/minisom,2023-03-02 15:10:03.003,21.0,24973.0,24973.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +440,openTSNE,pavlin-policar/openTSNE,data-viz,,https://github.com/pavlin-policar/openTSNE,https://github.com/pavlin-policar/openTSNE,BSD-3-Clause,2018-06-08 18:42:09.000,2023-11-29 23:41:32.898000,2023-11-29 13:48:39,684.0,4.0,157.0,24.0,124.0,2.0,128.0,1297.0,"Extensible, parallel implementations of t-SNE.",11.0,27,True,2023-11-29 14:50:50.000,1.0.1,27.0,opentsne,conda-forge/opentsne,,,,716.0,698.0,https://pypi.org/project/opentsne,2023-11-29 14:45:37.000,18.0,29684.0,35443.0,https://anaconda.org/conda-forge/opentsne,2023-11-29 23:41:32.898,230370.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +441,fancyimpute,iskandr/fancyimpute,sklearn-utils,,https://github.com/iskandr/fancyimpute,https://github.com/iskandr/fancyimpute,Apache-2.0,2015-11-05 23:39:34.000,2023-10-25 17:26:07.000000,2021-10-21 17:45:17,202.0,,173.0,26.0,36.0,3.0,114.0,1209.0,Multivariate imputation and matrix completion algorithms implemented in Python.,12.0,27,False,2021-10-21 17:50:40.000,0.7.0,29.0,fancyimpute,,,,['sklearn'],1517.0,1485.0,https://pypi.org/project/fancyimpute,2021-10-21 17:50:40.000,32.0,24442.0,24442.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +442,Madmom,CPJKU/madmom,audio,,https://github.com/CPJKU/madmom,https://github.com/CPJKU/madmom,BSD-3-Clause,2015-09-08 08:19:06.000,2023-11-28 23:16:10.000000,2023-09-10 06:51:22,1752.0,6.0,186.0,41.0,257.0,59.0,211.0,1183.0,Python audio and music signal processing library.,20.0,27,True,2018-11-14 14:57:41.000,0.16.1,11.0,madmom,,,,,413.0,380.0,https://pypi.org/project/madmom,2018-11-14 14:56:22.000,33.0,3074.0,3074.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +443,scikit-lego,koaning/scikit-lego,sklearn-utils,,https://github.com/koaning/scikit-lego,https://github.com/koaning/scikit-lego,MIT,2019-01-21 15:30:15.000,2023-12-03 11:43:20.000000,2023-11-29 16:35:26,478.0,24.0,106.0,22.0,317.0,29.0,253.0,1089.0,Extra blocks for scikit-learn pipelines.,62.0,27,True,2023-10-17 19:17:47.000,0.6.16,42.0,scikit-lego,conda-forge/scikit-lego,,,['sklearn'],130.0,122.0,https://pypi.org/project/scikit-lego,2023-10-17 19:19:27.000,8.0,32705.0,33748.0,https://anaconda.org/conda-forge/scikit-lego,2023-07-19 07:17:55.286,44860.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +444,USearch,unum-cloud/usearch,nn-search,,https://github.com/unum-cloud/usearch,https://github.com/unum-cloud/usearch,Apache-2.0,2023-02-22 09:20:20.000,2023-12-07 05:52:06.000000,2023-11-26 12:12:26,1443.0,254.0,56.0,14.0,259.0,13.0,50.0,1072.0,"Fastest Open-Source Search & Clustering engine for Vectors & Strings in C++, C, Python, JavaScript, Rust, Java,..",26.0,27,True,2023-11-26 12:13:47.467,2.8.14,102.0,usearch,,unum/usearch,,,35.0,30.0,https://pypi.org/project/usearch,2023-11-26 12:40:03.000,1.0,46665.0,52431.0,,,,https://hub.docker.com/r/unum/usearch,2023-11-26 12:13:27.055465,1.0,43.0,3.0,731.0,,,,usearch,https://www.npmjs.com/package/usearch,2023-11-26 12:13:47.467,4.0,5658.0,,,,,,,,,,, +445,scikit-survival,sebp/scikit-survival,sklearn-utils,,https://github.com/sebp/scikit-survival,https://github.com/sebp/scikit-survival,GPL-3.0,2016-12-26 22:15:53.000,2023-11-30 21:34:11.000000,2023-11-19 21:31:17,1019.0,38.0,203.0,24.0,120.0,24.0,183.0,1011.0,Survival analysis built on top of scikit-learn.,18.0,27,False,2023-10-08 13:11:29.000,0.22.1,27.0,scikit-survival,conda-forge/scikit-survival,,,['sklearn'],401.0,387.0,https://pypi.org/project/scikit-survival,2023-10-08 13:11:29.000,14.0,39967.0,42656.0,https://anaconda.org/conda-forge/scikit-survival,2023-10-20 18:47:48.968,67236.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +446,bambi,bambinos/bambi,probabilistics,,https://github.com/bambinos/bambi,https://github.com/bambinos/bambi,MIT,2016-05-16 03:21:00.000,2023-12-06 06:21:22.000000,2023-12-06 06:19:46,794.0,29.0,111.0,31.0,396.0,68.0,306.0,956.0,BAyesian Model-Building Interface (Bambi) in Python.,35.0,27,True,2023-10-25 02:06:14.000,0.13.0,28.0,bambi,conda-forge/bambi,,,,109.0,100.0,https://pypi.org/project/bambi,2023-10-25 02:06:14.000,9.0,18994.0,19768.0,https://anaconda.org/conda-forge/bambi,2023-10-27 17:16:55.433,27897.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +447,SMAC3,automl/SMAC3,hyperopt,,https://github.com/automl/SMAC3,https://github.com/automl/SMAC3,BSD-1-Clause,2016-08-17 10:58:05.000,2023-12-04 08:22:47.000000,2023-08-01 13:02:51,2070.0,,201.0,43.0,581.0,76.0,429.0,935.0,SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization.,41.0,27,False,2023-08-01 13:38:54.000,2.0.2,47.0,smac,conda-forge/smac,,,,46.0,,https://pypi.org/project/smac,2023-08-01 13:30:07.000,46.0,49589.0,50129.0,https://anaconda.org/conda-forge/smac,2023-08-11 21:35:06.370,17827.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +448,pythreejs,jupyter-widgets/pythreejs,data-viz,,https://github.com/jupyter-widgets/pythreejs,https://github.com/jupyter-widgets/pythreejs,BSD-3-Clause,2013-12-23 17:02:11.000,2023-06-16 13:16:30.947000,2023-02-20 00:24:10,1723.0,,185.0,39.0,173.0,61.0,174.0,908.0,A Jupyter - Three.js bridge.,30.0,27,True,2023-02-20 00:24:01.104,2.4.2,46.0,pythreejs,conda-forge/pythreejs,,,['jupyter'],96.0,28.0,https://pypi.org/project/pythreejs,2023-02-20 00:24:01.104,57.0,59648.0,69094.0,https://anaconda.org/conda-forge/pythreejs,2023-06-16 13:16:30.947,516655.0,,,,,3.0,,,,,jupyter-threejs,https://www.npmjs.com/package/jupyter-threejs,2023-02-20 00:16:17.277,11.0,3769.0,,,,,,,,,,, +449,mahotas,luispedro/mahotas,image,,https://github.com/luispedro/mahotas,https://github.com/luispedro/mahotas,MIT,2010-01-31 00:13:06.000,2023-07-26 22:41:29.989000,2023-06-09 22:11:37,1299.0,,149.0,50.0,56.0,21.0,65.0,812.0,Computer Vision in Python.,34.0,27,True,2022-06-28 14:25:55.000,1.4.13,59.0,mahotas,conda-forge/mahotas,,,,1288.0,1160.0,https://pypi.org/project/mahotas,2022-06-28 08:11:26.000,128.0,17947.0,27219.0,https://anaconda.org/conda-forge/mahotas,2023-07-26 22:41:29.989,389425.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +450,ml-metadata,google/ml-metadata,ml-experiments,,https://github.com/google/ml-metadata,https://github.com/google/ml-metadata,Apache-2.0,2019-01-15 21:02:09.000,2023-12-07 00:00:24.000000,2023-12-07 00:00:23,831.0,31.0,123.0,30.0,83.0,28.0,75.0,569.0,For recording and retrieving metadata associated with ML developer and data scientist workflows.,19.0,27,True,2023-08-10 00:37:12.000,1.14.0,42.0,ml-metadata,,,,,389.0,366.0,https://pypi.org/project/ml-metadata,2023-08-10 00:37:12.000,23.0,65365.0,65402.0,,,,,,,,3.0,2119.0,,,,,,,,,,,,,,,,,,, +451,Ciphey,Ciphey/Ciphey,nlp,,https://github.com/Ciphey/Ciphey,https://github.com/Ciphey/Ciphey,MIT,2019-07-16 20:20:39.000,2023-10-14 18:53:31.974373,2023-10-12 07:20:40,1894.0,1.0,875.0,218.0,453.0,57.0,264.0,14432.0,"Automatically decrypt encryptions without knowing the key or cipher, decode encodings, and crack hashes.",48.0,26,True,2021-06-06 17:15:00.281,5.14.0,50.0,ciphey,,remnux/ciphey,,,,,https://pypi.org/project/ciphey,2021-06-06 17:15:00.281,,45038.0,45441.0,,,,https://hub.docker.com/r/remnux/ciphey,2023-10-14 18:53:31.974373,14.0,21387.0,3.0,,,,,,,,,,,,,,,,,,,, +452,Trax,google/trax,others,,https://github.com/google/trax,https://github.com/google/trax,Apache-2.0,2019-10-05 15:09:14.000,2023-12-06 23:32:28.000000,2023-11-15 06:26:56,1617.0,3.0,808.0,147.0,1561.0,114.0,125.0,7820.0,Trax Deep Learning with Clear Code and Speed.,79.0,26,True,2021-10-26 20:29:38.000,1.4.1,24.0,trax,,,,,132.0,131.0,https://pypi.org/project/trax,2021-10-26 20:29:00.538,1.0,4582.0,4582.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +453,CuPy,cupy/cupy,gpu-utilities,,https://github.com/cupy/cupy,https://github.com/cupy/cupy,MIT,2016-11-01 09:54:45.000,2023-12-07 08:04:13.783114,,,,725.0,,,529.0,,7378.0,NumPy & SciPy for GPU.,299.0,26,True,2023-12-07 05:15:09.000,12.3.0,138.0,cupy,conda-forge/cupy,cupy/cupy,,,203.0,,https://pypi.org/project/cupy,2023-12-07 05:15:09.000,203.0,24213.0,99687.0,https://anaconda.org/conda-forge/cupy,2023-11-17 17:55:28.142,3215952.0,https://hub.docker.com/r/cupy/cupy,2023-12-07 08:04:13.783114,11.0,58239.0,2.0,,-12.0,,,,,,,,,,,,,,,,,, +454,mmdnn,Microsoft/MMdnn,model-serialisation,,https://github.com/microsoft/MMdnn,https://github.com/microsoft/MMdnn,MIT,2017-08-16 08:03:52.000,2023-10-03 15:31:03.000000,2022-09-22 23:59:07,1084.0,,979.0,183.0,327.0,334.0,292.0,5760.0,MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion..,86.0,26,False,2020-07-24 06:34:39.000,0.3.1,12.0,mmdnn,,,,,119.0,116.0,https://pypi.org/project/mmdnn,2020-07-24 06:34:39.000,3.0,379.0,429.0,,,,,,,,2.0,3712.0,,,,,,,,,,,,,,,,,,, +455,AugLy,facebookresearch/AugLy,others,,https://github.com/facebookresearch/AugLy,https://github.com/facebookresearch/AugLy,MIT,2021-06-09 17:57:28.000,2023-12-05 20:52:12.000000,2023-11-08 00:58:38,213.0,4.0,293.0,65.0,179.0,22.0,54.0,4844.0,"A data augmentations library for audio, image, text, and video.",34.0,26,True,2023-12-05 20:52:12.000,1.0.1,18.0,augly,,,,,96.0,92.0,https://pypi.org/project/augly,2023-12-05 20:52:12.000,4.0,1732.0,1732.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +456,ArrayFire,arrayfire/arrayfire,gpu-utilities,,https://github.com/arrayfire/arrayfire,https://github.com/arrayfire/arrayfire,BSD-3-Clause,2014-10-28 20:58:33.000,2023-11-05 23:29:16.000000,2023-10-05 16:17:35,6152.0,1.0,509.0,153.0,1902.0,295.0,1326.0,4284.0,ArrayFire: a general purpose GPU library.,88.0,26,True,2023-08-29 19:49:26.000,3.9.0,34.0,arrayfire,,,,,7.0,,https://pypi.org/project/arrayfire,2022-02-22 21:42:15.000,7.0,923.0,970.0,,,,,,,,2.0,4893.0,,,,,,,,,,,,,,,,,,, +457,OpenPrompt,thunlp/OpenPrompt,nlp,,https://github.com/thunlp/OpenPrompt,https://github.com/thunlp/OpenPrompt,Apache-2.0,2021-09-30 09:38:45.000,2023-12-06 14:21:14.000000,2023-05-06 14:09:10,264.0,,407.0,41.0,50.0,72.0,174.0,3941.0,An Open-Source Framework for Prompt-Learning.,22.0,26,True,2022-07-06 14:27:42.000,1.0.1,5.0,openprompt,,,,,94.0,92.0,https://pypi.org/project/openprompt,2022-07-06 14:27:42.000,2.0,1668.0,1668.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +458,facenet-pytorch,timesler/facenet-pytorch,image,,https://github.com/timesler/facenet-pytorch,https://github.com/timesler/facenet-pytorch,MIT,2019-05-25 01:29:24.000,2023-11-02 03:20:32.000000,2023-11-02 03:20:28,249.0,2.0,799.0,52.0,50.0,61.0,106.0,3874.0,Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models.,16.0,26,True,2023-04-07 19:27:35.000,2.5.3,32.0,facenet-pytorch,,,,['pytorch'],1431.0,1412.0,https://pypi.org/project/facenet-pytorch,2021-03-10 01:00:20.000,19.0,29952.0,44922.0,,,,,,,,3.0,733536.0,,,,,,,,,,,,,,,,,,, +459,TensorForce,tensorforce/tensorforce,reinforcement-learning,,https://github.com/tensorforce/tensorforce,https://github.com/tensorforce/tensorforce,Apache-2.0,2017-03-19 16:24:22.000,2023-08-14 20:14:15.000000,2023-08-14 20:14:08,2108.0,,538.0,146.0,237.0,34.0,631.0,3262.0,Tensorforce: a TensorFlow library for applied reinforcement learning.,84.0,26,True,2021-08-30 20:20:58.000,0.6.5,24.0,tensorforce,,,,['tensorflow'],432.0,430.0,https://pypi.org/project/tensorforce,2021-08-30 20:13:45.000,2.0,657.0,657.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +460,Hummingbird,microsoft/hummingbird,model-serialisation,,https://github.com/microsoft/hummingbird,https://github.com/microsoft/hummingbird,MIT,2020-03-12 20:27:03.000,2023-12-03 23:24:41.000000,2023-12-03 23:06:04,449.0,4.0,267.0,46.0,441.0,57.0,246.0,3253.0,Hummingbird compiles trained ML models into tensor computation for faster inference.,39.0,26,True,2023-07-12 16:55:59.000,0.4.9,22.0,hummingbird-ml,conda-forge/hummingbird-ml,,,,3.0,,https://pypi.org/project/hummingbird-ml,2020-06-10 22:08:15.000,3.0,10428.0,11558.0,https://anaconda.org/conda-forge/hummingbird-ml,2023-07-12 18:59:37.482,37027.0,,,,,2.0,358.0,,,,,,,,,,,,,,,,,,, +461,SHOGUN,shogun-toolbox/shogun,ml-frameworks,,https://github.com/shogun-toolbox/shogun,https://github.com/shogun-toolbox/shogun,BSD-3-Clause,2011-04-01 10:44:32.000,2023-06-16 13:22:38.816000,2020-12-08 16:56:38,17588.0,,1050.0,218.0,3648.0,429.0,1110.0,2975.0,Unified and efficient Machine Learning.,248.0,26,False,2019-07-05 10:23:31.000,shogun_6.1.4,10.0,,conda-forge/shogun,shogun/shogun,,,,,,,,,1677.0,https://anaconda.org/conda-forge/shogun,2023-06-16 13:22:38.816,128466.0,https://hub.docker.com/r/shogun/shogun,2019-01-31 13:45:10.435327,1.0,1502.0,3.0,,,,,,,,,,shogun,,,,,,,,,, +462,Alphalens,quantopian/alphalens,financial-data,,https://github.com/quantopian/alphalens,https://github.com/quantopian/alphalens,Apache-2.0,2016-06-03 21:49:15.000,2023-06-16 16:09:06.563000,2020-04-27 18:40:41,522.0,,1007.0,168.0,214.0,42.0,146.0,2905.0,Performance analysis of predictive (alpha) stock factors.,25.0,26,False,2020-04-30 15:42:52.000,0.4.0,10.0,alphalens,conda-forge/alphalens,,,,681.0,663.0,https://pypi.org/project/alphalens,2020-04-27 21:03:10.000,18.0,2978.0,3264.0,https://anaconda.org/conda-forge/alphalens,2023-06-16 16:09:06.563,20083.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +463,Spektral,danielegrattarola/spektral,graph,,https://github.com/danielegrattarola/spektral,https://github.com/danielegrattarola/spektral,MIT,2019-01-17 11:19:10.000,2023-06-01 22:20:25.000000,2023-06-01 22:10:29,1131.0,,335.0,44.0,57.0,64.0,201.0,2305.0,Graph Neural Networks with Keras and Tensorflow 2.,27.0,26,True,2023-06-01 22:20:25.000,1.3,34.0,spektral,,,,['tensorflow'],255.0,249.0,https://pypi.org/project/spektral,2023-06-01 22:17:00.684,6.0,6653.0,6653.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +464,lazypredict,shankarpandala/lazypredict,hyperopt,,https://github.com/shankarpandala/lazypredict,https://github.com/shankarpandala/lazypredict,MIT,2019-11-16 09:56:35.000,2023-11-17 18:46:16.000000,2022-09-28 17:12:28,249.0,,260.0,27.0,316.0,73.0,37.0,2300.0,Lazy Predict help build a lot of basic models without much code and helps understand which models works better without..,17.0,26,False,2022-09-28 08:51:19.531,0.2.12,12.0,lazypredict,conda-forge/lazypredict,,,['sklearn'],744.0,743.0,https://pypi.org/project/lazypredict,2022-09-28 08:51:19.531,1.0,22376.0,22471.0,https://anaconda.org/conda-forge/lazypredict,2023-06-16 19:27:14.287,2670.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +465,promptsource,bigscience-workshop/promptsource,nlp,,https://github.com/bigscience-workshop/promptsource,https://github.com/bigscience-workshop/promptsource,Apache-2.0,2021-05-19 15:26:25.000,2023-10-23 17:59:41.000000,2023-10-23 17:59:40,755.0,2.0,297.0,29.0,695.0,49.0,149.0,2265.0,"Toolkit for creating, sharing and using natural language prompts.",65.0,26,True,2022-07-02 17:57:17.000,0.2.3,5.0,promptsource,,,,,71.0,70.0,https://pypi.org/project/promptsource,2022-04-18 22:31:03.000,1.0,9487.0,9487.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +466,adapter-transformers,Adapter-Hub/adapter-transformers,others,,https://github.com/adapter-hub/adapters,https://github.com/adapter-hub/adapters,Apache-2.0,2020-04-21 16:21:43.000,2023-12-07 11:42:49.000000,2023-12-07 11:42:48,74.0,23.0,302.0,28.0,271.0,45.0,297.0,2163.0,A Unified Library for Parameter-Efficient and Modular Transfer Learning.,5.0,26,True,2023-11-24 10:10:50.000,0.1.0,18.0,adapter-transformers,,,,['huggingface'],14.0,7.0,https://pypi.org/project/adapter-transformers,2023-04-06 21:15:54.582,7.0,28438.0,28438.0,,,,,,,,3.0,,,,adapter-hub/adapters,,,,,,,,,,,,,,,, +467,mtcnn,ipazc/mtcnn,image,,https://github.com/ipazc/mtcnn,https://github.com/ipazc/mtcnn,MIT,2018-01-05 04:08:32.000,2023-09-09 21:39:29.000000,2021-07-09 11:06:18,56.0,,486.0,40.0,24.0,66.0,38.0,2067.0,"MTCNN face detection implementation for TensorFlow, as a PIP package.",15.0,26,False,2021-07-09 11:16:39.000,0.1.1,11.0,mtcnn,conda-forge/mtcnn,,,['tensorflow'],4411.0,4360.0,https://pypi.org/project/mtcnn,2021-07-09 11:16:39.000,51.0,59288.0,59523.0,https://anaconda.org/conda-forge/mtcnn,2023-06-16 19:18:00.316,10815.0,,,,,3.0,,-2.0,,,,,,,,,,,,,,,,,, +468,modAL,modAL-python/modAL,others,,https://github.com/modAL-python/modAL,https://github.com/modAL-python/modAL,MIT,2017-11-14 14:01:15.000,2023-12-07 02:45:57.000000,2023-06-01 12:18:23,739.0,,355.0,42.0,43.0,96.0,56.0,2064.0,A modular active learning framework for Python.,20.0,26,True,2023-12-07 02:45:57.000,0.56.4225,424.0,modAL,,,,['sklearn'],26.0,23.0,https://pypi.org/project/modAL,2023-12-07 02:45:57.000,3.0,132188.0,132188.0,,,,,,,,3.0,29.0,,,,,,,,,,,,,,,,,,, +469,efficientnet,qubvel/efficientnet,tensorflow-utils,,https://github.com/qubvel/efficientnet,https://github.com/qubvel/efficientnet,Apache-2.0,2019-05-30 20:21:09.000,2023-06-16 19:23:39.686000,2021-07-16 09:03:20,66.0,,463.0,39.0,42.0,64.0,58.0,2045.0,Implementation of EfficientNet model. Keras and TensorFlow Keras.,10.0,26,False,2020-09-15 16:26:00.000,1.1.1,9.0,efficientnet,anaconda/efficientnet,,,['tensorflow'],1864.0,1850.0,https://pypi.org/project/efficientnet,2020-09-15 16:26:00.000,14.0,59051.0,63653.0,https://anaconda.org/anaconda/efficientnet,2023-06-16 19:23:39.686,467.0,,,,,3.0,252498.0,,,,,,,,,,,,,,,,,,, +470,Pillow-SIMD,uploadcare/pillow-simd,image,,https://github.com/uploadcare/pillow-simd,https://github.com/uploadcare/pillow-simd,PIL,2014-11-12 15:33:02.000,2023-06-20 17:42:42.000000,2023-06-20 17:42:34,12566.0,,84.0,41.0,47.0,11.0,75.0,2041.0,The friendly PIL fork.,385.0,26,False,,,47.0,pillow-simd,,,,,55.0,,https://pypi.org/project/pillow-simd,2022-01-04 16:11:51.000,55.0,68230.0,68230.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +471,petastorm,uber/petastorm,distributed-ml,,https://github.com/uber/petastorm,https://github.com/uber/petastorm,Apache-2.0,2018-06-15 23:15:29.000,2023-12-02 05:11:31.000000,2023-12-02 05:11:31,691.0,1.0,275.0,41.0,495.0,172.0,151.0,1693.0,Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets..,50.0,26,True,2022-12-16 20:54:02.878,0.12.1,86.0,petastorm,,,,,150.0,142.0,https://pypi.org/project/petastorm,2023-02-03 00:33:00.499,8.0,31389.0,31395.0,,,,,,,,3.0,433.0,,,,,,,,,,,,,,,,,,, +472,pyts,johannfaouzi/pyts,time-series-data,,https://github.com/johannfaouzi/pyts,https://github.com/johannfaouzi/pyts,BSD-3-Clause,2017-07-31 09:23:16.000,2023-09-11 22:28:27.000000,2023-06-20 13:16:50,391.0,,156.0,25.0,81.0,42.0,34.0,1614.0,A Python package for time series classification.,14.0,26,True,2023-06-18 12:36:11.801,0.13.0,19.0,pyts,conda-forge/pyts,,,,524.0,505.0,https://pypi.org/project/pyts,2021-10-31 13:51:09.000,19.0,110302.0,111143.0,https://anaconda.org/conda-forge/pyts,2023-06-18 16:28:23.633,21875.0,,,,,3.0,,-2.0,,,,,,,,,,,,,,,,,, +473,TNT,pytorch/tnt,ml-experiments,,https://github.com/pytorch/tnt,https://github.com/pytorch/tnt,BSD-3-Clause,2016-12-10 11:49:58.000,2023-12-07 05:04:29.000000,2023-12-06 08:00:35,755.0,103.0,251.0,47.0,576.0,32.0,61.0,1579.0,A lightweight library for PyTorch training tools and utilities.,108.0,26,True,2018-07-29 23:16:03.000,0.0.4,3.0,torchnet,,,,['pytorch'],38.0,,https://pypi.org/project/torchnet,2018-07-29 23:16:03.000,38.0,6852.0,6852.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +474,Paddle Graph Learning,PaddlePaddle/PGL,graph,,https://github.com/PaddlePaddle/PGL,https://github.com/PaddlePaddle/PGL,Apache-2.0,2019-06-11 03:23:28.000,2023-09-26 07:49:38.000000,2023-09-26 07:34:28,1378.0,14.0,309.0,27.0,375.0,89.0,120.0,1544.0,Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle.,31.0,26,True,2023-09-26 07:49:38.000,2.2.6,21.0,pgl,,,,['paddle'],48.0,46.0,https://pypi.org/project/pgl,2023-09-26 07:49:38.000,2.0,850.0,850.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +475,Mesh,tensorflow/mesh,distributed-ml,,https://github.com/tensorflow/mesh,https://github.com/tensorflow/mesh,Apache-2.0,2018-09-20 20:23:34.000,2023-11-17 19:39:54.000000,2023-11-17 19:39:45,658.0,1.0,245.0,50.0,312.0,95.0,16.0,1485.0,Mesh TensorFlow: Model Parallelism Made Easier.,50.0,26,True,2022-05-15 21:06:13.000,0.1.21,27.0,mesh-tensorflow,,,,['tensorflow'],902.0,872.0,https://pypi.org/project/mesh-tensorflow,2022-05-15 21:06:13.000,30.0,43897.0,43897.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +476,gplearn,trevorstephens/gplearn,others,,https://github.com/trevorstephens/gplearn,https://github.com/trevorstephens/gplearn,BSD-3-Clause,2015-03-26 01:01:14.000,2023-11-29 15:04:03.000000,2023-08-12 06:34:27,161.0,,255.0,49.0,87.0,22.0,188.0,1445.0,"Genetic Programming in Python, with a scikit-learn inspired API.",11.0,26,True,2022-05-03 10:56:08.000,0.4.2,7.0,gplearn,conda-forge/gplearn,,,['sklearn'],486.0,471.0,https://pypi.org/project/gplearn,2022-05-03 10:47:30.000,15.0,6375.0,6526.0,https://anaconda.org/conda-forge/gplearn,2023-06-16 19:20:25.471,6356.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +477,PyKEEN,pykeen/pykeen,graph,,https://github.com/pykeen/pykeen,https://github.com/pykeen/pykeen,MIT,2020-02-24 07:26:03.000,2023-11-18 16:28:54.000000,2023-10-07 11:26:54,2816.0,17.0,170.0,27.0,660.0,109.0,432.0,1403.0,A Python library for learning and evaluating knowledge graph embeddings.,36.0,26,True,2023-02-22 18:29:02.145,1.10.1,46.0,pykeen,,,,,5.0,,https://pypi.org/project/pykeen,2023-02-22 18:29:02.145,5.0,4416.0,4420.0,,,,,,,,2.0,176.0,,,,,,,,,,,,,,,,,,, +478,pycm,sepandhaghighi/pycm,others,,https://github.com/sepandhaghighi/pycm,https://github.com/sepandhaghighi/pycm,MIT,2018-01-22 19:46:54.000,2023-12-07 06:10:41.000000,2023-06-07 07:35:59,3033.0,,118.0,37.0,328.0,11.0,187.0,1403.0,Multi-class confusion matrix library in Python.,17.0,26,True,2023-06-07 14:06:28.000,4.0,44.0,pycm,,,,,270.0,252.0,https://pypi.org/project/pycm,2023-06-07 14:08:01.991,18.0,53481.0,53481.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +479,torch-scatter,rusty1s/pytorch_scatter,pytorch-utils,,https://github.com/rusty1s/pytorch_scatter,https://github.com/rusty1s/pytorch_scatter,MIT,2017-12-16 16:34:23.000,2023-11-29 23:18:39.816000,2023-10-05 18:36:18,1029.0,1.0,165.0,18.0,62.0,24.0,319.0,1388.0,PyTorch Extension Library of Optimized Scatter Operations.,28.0,26,True,2023-10-06 08:49:07.000,2.1.2,32.0,torch-scatter,conda-forge/pytorch_scatter,,,['pytorch'],81.0,,https://pypi.org/project/torch-scatter,2023-10-06 08:49:07.000,81.0,42120.0,47643.0,https://anaconda.org/conda-forge/pytorch_scatter,2023-11-29 23:18:39.816,231997.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +480,PySAL,pysal/pysal,geospatial-data,,https://github.com/pysal/pysal,https://github.com/pysal/pysal,BSD-3-Clause,2013-02-19 17:27:42.000,2023-12-04 14:06:22.000000,2023-12-04 14:06:17,4202.0,2.0,285.0,84.0,639.0,14.0,607.0,1219.0,PySAL: Python Spatial Analysis Library Meta-Package.,78.0,26,True,2023-08-01 02:38:24.000,23.07,34.0,pysal,conda-forge/pysal,,,,38.0,,https://pypi.org/project/pysal,2023-08-01 02:39:38.000,38.0,21113.0,33959.0,https://anaconda.org/conda-forge/pysal,2023-10-04 23:43:19.864,526702.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +481,Streamz,python-streamz/streamz,time-series-data,,https://github.com/python-streamz/streamz,https://github.com/python-streamz/streamz,BSD-3-Clause,2017-04-04 21:45:49.000,2023-06-16 13:22:22.238000,2022-12-22 14:52:10,805.0,,143.0,35.0,214.0,109.0,152.0,1199.0,Real-time stream processing for python.,48.0,26,True,2022-07-27 18:09:03.803,0.6.4,17.0,streamz,conda-forge/streamz,,,,474.0,434.0,https://pypi.org/project/streamz,2022-07-27 18:09:03.803,40.0,20781.0,30656.0,https://anaconda.org/conda-forge/streamz,2023-06-16 13:22:22.238,740639.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +482,stockstats,jealous/stockstats,financial-data,,https://github.com/jealous/stockstats,https://github.com/jealous/stockstats,BSD-3-Clause,2016-06-05 15:21:22.000,2023-09-25 14:05:54.000000,2023-07-30 07:05:58,66.0,,287.0,57.0,62.0,12.0,108.0,1192.0,Supply a wrapper ``StockDataFrame`` based on the ``pandas.DataFrame`` with inline stock statistics/indicators support.,9.0,26,True,2023-07-30 07:07:37.000,0.6.2,24.0,stockstats,,,,,990.0,961.0,https://pypi.org/project/stockstats,2023-07-30 07:07:37.000,29.0,10000.0,10000.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +483,iNNvestigate,albermax/innvestigate,interpretability,,https://github.com/albermax/innvestigate,https://github.com/albermax/innvestigate,BSD-2-Clause,2017-12-13 18:11:20.000,2023-10-12 14:57:26.000000,2023-10-12 14:56:47,1107.0,5.0,238.0,38.0,67.0,54.0,205.0,1186.0,A toolbox to iNNvestigate neural networks predictions!.,20.0,26,True,2023-10-12 14:58:48.000,2.1.2,8.0,innvestigate,,,,['tensorflow'],114.0,112.0,https://pypi.org/project/innvestigate,2023-10-12 14:55:59.000,2.0,780.0,785.0,,,,,,,,3.0,87.0,,,,,,,,,,,,,,,,,,, +484,Sentinelsat,sentinelsat/sentinelsat,geospatial-data,,https://github.com/sentinelsat/sentinelsat,https://github.com/sentinelsat/sentinelsat,GPL-3.0,2015-05-22 20:32:26.000,2023-11-08 21:55:22.000000,2023-11-08 21:55:22,1142.0,2.0,236.0,62.0,245.0,22.0,346.0,935.0,Search and download Copernicus Sentinel satellite images.,43.0,26,False,2023-03-10 17:53:00.587,1.2.1,41.0,sentinelsat,conda-forge/sentinelsat,,,,554.0,514.0,https://pypi.org/project/sentinelsat,2017-03-06 02:33:09.000,40.0,18008.0,18731.0,https://anaconda.org/conda-forge/sentinelsat,2023-06-16 19:22:55.678,27380.0,,,,,3.0,262.0,,,,,,,,,,,,,,,,,,, +485,scikit-multilearn,scikit-multilearn/scikit-multilearn,sklearn-utils,,https://github.com/scikit-multilearn/scikit-multilearn,https://github.com/scikit-multilearn/scikit-multilearn,BSD-2-Clause,2014-04-30 13:05:44.000,2023-08-25 16:48:20.000000,2023-04-19 21:43:19,547.0,,168.0,34.0,85.0,88.0,122.0,879.0,A scikit-learn based module for multi-label et. al. classification.,28.0,26,True,2018-12-10 16:24:47.000,0.2.0,7.0,scikit-multilearn,,,,['sklearn'],1370.0,1346.0,https://pypi.org/project/scikit-multilearn,2018-12-10 16:24:47.000,24.0,59563.0,59563.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +486,Plotly-Resampler,predict-idlab/plotly-resampler,data-viz,,https://github.com/predict-idlab/plotly-resampler,https://github.com/predict-idlab/plotly-resampler,MIT,2021-11-20 10:51:56.000,2023-12-05 11:27:36.000000,2023-12-02 20:15:20,764.0,10.0,55.0,13.0,121.0,39.0,108.0,861.0,Visualize large time series data with plotly.py.,11.0,26,True,2023-07-13 11:26:44.000,0.9.1,60.0,plotly-resampler,conda-forge/plotly-resampler,,,,750.0,739.0,https://pypi.org/project/plotly-resampler,2023-12-02 20:10:09.000,11.0,372168.0,373557.0,https://anaconda.org/conda-forge/plotly-resampler,2023-08-11 13:55:21.400,31964.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +487,EarthPy,earthlab/earthpy,geospatial-data,,https://github.com/earthlab/earthpy,https://github.com/earthlab/earthpy,BSD-3-Clause,2018-02-20 03:02:42.000,2023-12-03 20:20:00.000000,2023-08-23 17:20:54,1241.0,,150.0,19.0,690.0,25.0,208.0,468.0,A package built to support working with spatial data using open source python.,44.0,26,True,2021-10-01 22:51:04.000,0.9.4,23.0,earthpy,conda-forge/earthpy,,,,280.0,263.0,https://pypi.org/project/earthpy,2021-10-01 22:51:04.000,17.0,5664.0,6925.0,https://anaconda.org/conda-forge/earthpy,2023-06-16 16:14:50.280,70668.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +488,sklearn-crfsuite,TeamHG-Memex/sklearn-crfsuite,sklearn-utils,,https://github.com/TeamHG-Memex/sklearn-crfsuite,https://github.com/TeamHG-Memex/sklearn-crfsuite,MIT,2015-11-26 21:15:41.000,2023-09-25 19:44:09.000000,2019-12-05 08:17:22,46.0,,210.0,22.0,17.0,45.0,23.0,423.0,scikit-learn inspired API for CRFsuite.,6.0,26,False,2017-06-22 18:49:27.000,0.3.6,9.0,sklearn-crfsuite,conda-forge/sklearn-crfsuite,,,['sklearn'],7501.0,7220.0,https://pypi.org/project/sklearn-crfsuite,2017-06-22 18:49:27.000,281.0,272722.0,273622.0,https://anaconda.org/conda-forge/sklearn-crfsuite,2023-06-16 19:18:37.991,39615.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +489,PyText,facebookresearch/pytext,nlp,,https://github.com/facebookresearch/pytext,https://github.com/facebookresearch/pytext,BSD-3-Clause,2018-07-31 23:40:46.000,2022-10-17 19:55:31.000000,2022-10-17 19:51:05,1735.0,,824.0,169.0,1588.0,145.0,74.0,6362.0,A natural language modeling framework based on PyTorch.,234.0,25,False,2020-06-08 23:30:58.000,0.3.3,13.0,pytext-nlp,,,,['pytorch'],22.0,21.0,https://pypi.org/project/pytext-nlp,2020-06-08 22:49:33.000,1.0,180.0,185.0,,,,,,,,3.0,349.0,,,,,,,,,,,,,,,,,,, +490,FATE,FederatedAI/FATE,privacy-ml,,https://github.com/FederatedAI/FATE,https://github.com/FederatedAI/FATE,Apache-2.0,2019-01-24 10:32:43.000,2023-12-07 13:33:03.000000,2023-11-28 06:24:26,11571.0,29.0,1521.0,142.0,3425.0,798.0,1029.0,5315.0,An Industrial Grade Federated Learning Framework.,94.0,25,True,2023-11-17 15:24:31.000,1.11.4,47.0,ETAF,,,,,,,https://pypi.org/project/ETAF,2020-05-06 09:35:40.000,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +491,Image Deduplicator,idealo/imagededup,image,,https://github.com/idealo/imagededup,https://github.com/idealo/imagededup,Apache-2.0,2019-04-05 12:10:54.000,2023-10-26 08:08:10.000000,2023-04-28 16:55:30,521.0,,426.0,60.0,89.0,48.0,88.0,4776.0,Finding duplicate images made easy!.,15.0,25,True,2023-04-28 17:29:01.612,0.3.2,12.0,imagededup,,,,['tensorflow'],74.0,69.0,https://pypi.org/project/imagededup,2023-04-28 17:29:01.612,5.0,13319.0,13319.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +492,DALI,NVIDIA/DALI,gpu-utilities,,https://github.com/NVIDIA/DALI,https://github.com/NVIDIA/DALI,Apache-2.0,2018-06-01 22:18:01.000,2023-12-07 14:35:30.000000,2023-12-07 10:23:00,3375.0,130.0,599.0,93.0,3724.0,291.0,1246.0,4717.0,A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to..,87.0,25,True,2023-11-29 17:06:56.000,1.32.0,72.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +493,Lucid,tensorflow/lucid,interpretability,,https://github.com/tensorflow/lucid,https://github.com/tensorflow/lucid,Apache-2.0,2018-01-25 17:41:44.000,2023-02-06 16:41:16.000000,2021-03-19 15:48:33,667.0,,658.0,159.0,130.0,83.0,101.0,4582.0,A collection of infrastructure and tools for research in neural network interpretability.,40.0,25,False,2021-03-19 16:01:00.000,0.3.10,17.0,lucid,,,,['tensorflow'],757.0,751.0,https://pypi.org/project/lucid,2021-03-19 16:01:00.000,6.0,732.0,732.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +494,TensorTrade,tensortrade-org/tensortrade,financial-data,,https://github.com/tensortrade-org/tensortrade,https://github.com/tensortrade-org/tensortrade,Apache-2.0,2019-07-30 21:28:32.000,2023-06-16 19:25:40.006000,2022-08-23 22:54:23,1046.0,,982.0,238.0,214.0,51.0,200.0,4307.0,"An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.",61.0,25,False,2021-05-10 18:04:30.000,1.0.3,27.0,tensortrade,conda-forge/tensortrade,,,,50.0,49.0,https://pypi.org/project/tensortrade,2021-05-10 18:00:35.000,1.0,460.0,560.0,https://anaconda.org/conda-forge/tensortrade,2023-06-16 19:25:40.006,3209.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +495,PyAlgoTrade,gbeced/pyalgotrade,financial-data,,https://github.com/gbeced/pyalgotrade,https://github.com/gbeced/pyalgotrade,Apache-2.0,2012-03-07 01:09:54.000,2023-11-13 07:16:00.000000,2023-03-05 22:07:59,1158.0,,1370.0,351.0,59.0,51.0,,4203.0,Python Algorithmic Trading Library.,11.0,25,True,,,8.0,pyalgotrade,,,,,198.0,177.0,https://pypi.org/project/pyalgotrade,2018-08-21 01:48:25.000,21.0,714.0,714.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +496,Snips NLU,snipsco/snips-nlu,nlp,,https://github.com/snipsco/snips-nlu,https://github.com/snipsco/snips-nlu,Apache-2.0,2017-02-08 16:16:36.000,2023-05-22 16:10:15.000000,2021-05-03 12:18:31,2154.0,,512.0,138.0,649.0,66.0,197.0,3841.0,Snips Python library to extract meaning from text.,22.0,25,False,2020-01-15 10:13:17.000,0.20.2,58.0,snips-nlu,,,,,13.0,,https://pypi.org/project/snips-nlu,2020-01-15 10:13:17.000,13.0,2014.0,2014.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +497,Chartify,spotify/chartify,data-viz,,https://github.com/spotify/chartify,https://github.com/spotify/chartify,Apache-2.0,2018-09-17 14:12:05.000,2023-10-12 09:43:46.000000,2023-10-12 08:57:51,209.0,1.0,309.0,85.0,92.0,48.0,32.0,3415.0,Python library that makes it easy for data scientists to create charts.,25.0,25,True,2023-10-12 09:02:25.000,4.0.5,25.0,chartify,conda-forge/chartify,,,,83.0,73.0,https://pypi.org/project/chartify,2023-10-12 09:02:25.000,10.0,3342.0,3819.0,https://anaconda.org/conda-forge/chartify,2023-06-16 16:11:58.064,29143.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +498,xLearn,aksnzhy/xlearn,ml-frameworks,,https://github.com/aksnzhy/xlearn,https://github.com/aksnzhy/xlearn,Apache-2.0,2017-06-10 08:09:31.000,2023-08-28 05:14:10.000000,2022-06-05 10:44:18,1342.0,,528.0,110.0,73.0,193.0,115.0,3073.0,"High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization..",30.0,25,False,2019-04-25 02:10:05.000,0.4.4,15.0,xlearn,,,,,136.0,124.0,https://pypi.org/project/xlearn,2018-12-04 11:05:06.000,12.0,2835.0,2898.0,,,,,,,,3.0,4400.0,,,,,,,,,,,,,,,,,,, +499,pytorchvideo,facebookresearch/pytorchvideo,image,,https://github.com/facebookresearch/pytorchvideo,https://github.com/facebookresearch/pytorchvideo,Apache-2.0,2021-03-09 20:39:13.000,2023-10-30 16:50:13.000000,2023-10-30 16:34:46,179.0,2.0,363.0,164.0,82.0,87.0,99.0,3059.0,A deep learning library for video understanding research.,55.0,25,True,2022-01-20 00:16:35.000,0.1.5,9.0,pytorchvideo,,,,['pytorch'],7.0,,https://pypi.org/project/pytorchvideo,2022-01-20 00:16:35.000,7.0,96646.0,96646.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +500,keras-vis,raghakot/keras-vis,interpretability,,https://github.com/raghakot/keras-vis,https://github.com/raghakot/keras-vis,MIT,2016-11-11 23:27:34.000,2022-02-07 16:06:07.000000,2020-04-20 01:03:12,195.0,,679.0,72.0,25.0,117.0,101.0,2972.0,Neural network visualization toolkit for keras.,10.0,25,False,2017-07-06 05:11:22.255,0.4.1,11.0,keras-vis,,,,['tensorflow'],2881.0,2852.0,https://pypi.org/project/keras-vis,2017-07-06 05:11:22.255,29.0,1135.0,1135.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +501,Towhee,towhee-io/towhee,ml-frameworks,,https://github.com/towhee-io/towhee,https://github.com/towhee-io/towhee,Apache-2.0,2021-07-13 08:28:50.000,2023-12-05 02:50:26.000000,2023-12-04 04:34:26,1573.0,8.0,250.0,48.0,2014.0,7.0,641.0,2875.0,Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.,34.0,25,True,2023-12-05 02:33:36.000,1.1.3,26.0,towhee,,,,,,,https://pypi.org/project/towhee,2023-12-04 07:25:10.000,,3073.0,3181.0,,,,,,,,3.0,2612.0,,,,,,,,,,,,,,,,,,, +502,neuralcoref,huggingface/neuralcoref,nlp,,https://github.com/huggingface/neuralcoref,https://github.com/huggingface/neuralcoref,MIT,2017-07-03 13:04:16.000,2023-06-16 19:17:56.088000,2021-06-22 10:51:48,116.0,,469.0,100.0,49.0,59.0,253.0,2766.0,Fast Coreference Resolution in spaCy with Neural Networks.,21.0,25,False,2019-04-08 11:28:27.000,4.0.0,5.0,neuralcoref,conda-forge/neuralcoref,,,,698.0,674.0,https://pypi.org/project/neuralcoref,2019-04-08 09:56:00.000,24.0,3155.0,3489.0,https://anaconda.org/conda-forge/neuralcoref,2023-06-16 19:17:56.088,14914.0,,,,,3.0,831.0,,,,,,,,,,,,,,,,,,, +503,knockknock,huggingface/knockknock,ml-experiments,,https://github.com/huggingface/knockknock,https://github.com/huggingface/knockknock,MIT,2019-03-20 13:08:55.000,2023-06-23 10:52:46.000000,2020-03-16 04:26:47,75.0,,217.0,67.0,42.0,17.0,23.0,2658.0,Knock Knock: Get notified when your training ends with only two additional lines of code.,20.0,25,False,2020-03-04 04:15:47.000,0.1.8,10.0,knockknock,conda-forge/knockknock,,,,833.0,828.0,https://pypi.org/project/knockknock,2020-03-16 14:30:23.000,5.0,98817.0,99099.0,https://anaconda.org/conda-forge/knockknock,2023-06-16 16:18:44.705,14113.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +504,m2cgen,BayesWitnesses/m2cgen,model-serialisation,,https://github.com/BayesWitnesses/m2cgen,https://github.com/BayesWitnesses/m2cgen,MIT,2019-01-13 02:32:55.000,2023-11-01 10:12:46.000000,2022-10-05 16:26:03,376.0,,216.0,48.0,481.0,45.0,70.0,2658.0,"Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart,..",14.0,25,False,2022-04-26 01:24:34.000,0.10.0,13.0,m2cgen,,,,,187.0,184.0,https://pypi.org/project/m2cgen,2022-04-26 01:24:34.000,3.0,18349.0,18349.0,,,,,,,,3.0,57.0,,,,,,,,,,,,,,,,,,, +505,HiPlot,facebookresearch/hiplot,data-viz,,https://github.com/facebookresearch/hiplot,https://github.com/facebookresearch/hiplot,MIT,2019-11-08 13:06:41.000,2023-10-18 12:30:19.000000,2023-07-19 07:40:10,212.0,,130.0,30.0,198.0,19.0,73.0,2616.0,HiPlot makes understanding high dimensional data easy.,9.0,25,True,2022-05-31 09:00:35.000,0.1.33,113.0,hiplot,conda-forge/hiplot,,,,376.0,361.0,https://pypi.org/project/hiplot,2022-07-05 08:51:12.000,15.0,25641.0,29351.0,https://anaconda.org/conda-forge/hiplot,2023-06-16 19:18:10.488,170687.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +506,Enigma Catalyst,scrtlabs/catalyst,financial-data,,https://github.com/scrtlabs/catalyst,https://github.com/scrtlabs/catalyst,Apache-2.0,2017-06-13 22:31:34.000,2022-11-26 14:07:55.000000,2021-09-22 15:31:55,6364.0,,709.0,167.0,94.0,134.0,358.0,2447.0,An Algorithmic Trading Library for Crypto-Assets in Python.,151.0,25,False,2018-11-11 16:46:28.000,0.5.21,52.0,enigma-catalyst,,,,,27.0,25.0,https://pypi.org/project/enigma-catalyst,2018-11-11 16:46:28.000,2.0,62.0,62.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +507,pytorch_geometric_temporal,benedekrozemberczki/pytorch_geometric_temporal,graph,,https://github.com/benedekrozemberczki/pytorch_geometric_temporal,https://github.com/benedekrozemberczki/pytorch_geometric_temporal,MIT,2020-06-27 01:11:33.000,2023-11-01 16:09:35.000000,2023-07-01 21:40:58,1936.0,,320.0,39.0,84.0,18.0,157.0,2342.0,PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021).,28.0,25,True,2022-09-04 16:37:07.000,0.54.0,46.0,torch-geometric-temporal,,,,['pytorch'],4.0,,https://pypi.org/project/torch-geometric-temporal,2022-09-04 16:10:00.738,4.0,3351.0,3351.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +508,python_speech_features,jameslyons/python_speech_features,audio,,https://github.com/jameslyons/python_speech_features,https://github.com/jameslyons/python_speech_features,MIT,2013-10-31 02:42:08.000,2021-10-20 10:08:48.000000,2020-12-31 13:27:01,120.0,,604.0,90.0,29.0,23.0,51.0,2298.0,This library provides common speech features for ASR including MFCCs and filterbank energies.,19.0,25,False,2020-01-14 14:12:10.000,0.6.1,6.0,python_speech_features,,,,,646.0,466.0,https://pypi.org/project/python_speech_features,2017-08-16 01:46:13.000,180.0,148778.0,148778.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +509,Norfair,tryolabs/norfair,image,,https://github.com/tryolabs/norfair,https://github.com/tryolabs/norfair,BSD-3-Clause,2020-07-01 20:15:44.000,2023-10-15 09:57:16.000000,2023-05-15 21:21:45,660.0,,223.0,39.0,136.0,6.0,129.0,2204.0,Lightweight Python library for adding real-time multi-object tracking to any detector.,24.0,25,True,2023-01-04 21:42:02.301,2.2.0,19.0,norfair,,,,,141.0,138.0,https://pypi.org/project/norfair,2022-05-30 21:14:58.000,3.0,5200.0,5207.0,,,,,,,,3.0,294.0,,,,,,,,,,,,,,,,,,, +510,pytorch-nlp,PetrochukM/PyTorch-NLP,nlp,,https://github.com/PetrochukM/PyTorch-NLP,https://github.com/PetrochukM/PyTorch-NLP,BSD-3-Clause,2018-02-25 05:00:36.000,2023-07-04 21:11:26.000000,2023-07-04 21:11:26,451.0,,256.0,57.0,56.0,19.0,50.0,2200.0,Basic Utilities for PyTorch Natural Language Processing (NLP).,18.0,25,True,2019-11-04 05:16:00.000,0.5.0,19.0,pytorch-nlp,,,,['pytorch'],619.0,600.0,https://pypi.org/project/pytorch-nlp,2019-11-04 04:35:18.000,19.0,8551.0,8551.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +511,scattertext,JasonKessler/scattertext,nlp,,https://github.com/JasonKessler/scattertext,https://github.com/JasonKessler/scattertext,Apache-2.0,2016-07-21 01:47:12.000,2023-09-05 06:09:07.000000,2023-09-05 06:09:05,385.0,,278.0,56.0,14.0,21.0,78.0,2169.0,Beautiful visualizations of how language differs among document types.,14.0,25,True,2023-04-18 01:25:02.819,0.1.19,148.0,scattertext,conda-forge/scattertext,,,,476.0,466.0,https://pypi.org/project/scattertext,2023-04-18 01:25:02.819,10.0,10724.0,11846.0,https://anaconda.org/conda-forge/scattertext,2023-06-16 13:23:09.869,85321.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +512,PyFlux,RJT1990/pyflux,time-series-data,,https://github.com/RJT1990/pyflux,https://github.com/RJT1990/pyflux,BSD-3-Clause,2016-02-16 20:12:02.000,2023-10-24 16:13:23.000000,2018-12-16 15:30:13,118.0,,243.0,71.0,21.0,93.0,66.0,2067.0,Open source time series library for Python.,6.0,25,False,2017-11-21 16:27:06.000,0.4.16,36.0,pyflux,,,,,272.0,255.0,https://pypi.org/project/pyflux,2017-11-21 16:27:06.000,17.0,27253.0,27253.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +513,CausalNex,quantumblacklabs/causalnex,interpretability,,https://github.com/mckinsey/causalnex,https://github.com/mckinsey/causalnex,Apache-2.0,2019-12-12 15:26:09.000,2023-12-01 14:57:38.000000,2023-07-11 07:11:36,210.0,,231.0,46.0,86.0,17.0,115.0,2041.0,A Python library that helps data scientists to infer causation rather than observing correlation.,35.0,25,True,2023-06-22 13:11:59.629,0.12.1,20.0,causalnex,,,,"['pytorch', 'sklearn']",108.0,105.0,https://pypi.org/project/causalnex,2023-06-22 13:11:59.629,3.0,3913.0,3913.0,,,,,,,,3.0,,,,mckinsey/causalnex,,,,,,,,,,,,,,,, +514,AmpliGraph,Accenture/AmpliGraph,graph,,https://github.com/Accenture/AmpliGraph,https://github.com/Accenture/AmpliGraph,Apache-2.0,2019-01-09 14:52:05.000,2023-07-12 18:18:40.000000,2023-07-12 18:14:01,1515.0,,238.0,67.0,58.0,31.0,186.0,2027.0,Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org.,20.0,25,True,2023-07-12 18:26:08.000,2.0.1,14.0,ampligraph,,,,['tensorflow'],47.0,47.0,https://pypi.org/project/ampligraph,2023-07-12 18:13:00.637,,733.0,733.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +515,checklist,marcotcr/checklist,interpretability,,https://github.com/marcotcr/checklist,https://github.com/marcotcr/checklist,MIT,2020-03-09 17:18:49.000,2023-10-27 06:59:13.000000,2023-09-26 17:27:56,255.0,3.0,195.0,29.0,64.0,35.0,83.0,1960.0,Beyond Accuracy: Behavioral Testing of NLP models with CheckList.,15.0,25,True,2021-05-24 16:45:59.000,0.0.11,10.0,checklist,conda-forge/checklist,,,['jupyter'],300.0,293.0,https://pypi.org/project/checklist,2021-05-24 16:45:59.000,7.0,4460.0,4649.0,https://anaconda.org/conda-forge/checklist,2023-06-16 19:24:18.549,6648.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +516,Multicore-TSNE,DmitryUlyanov/Multicore-TSNE,data-viz,,https://github.com/DmitryUlyanov/Multicore-TSNE,https://github.com/DmitryUlyanov/Multicore-TSNE,BSD-3-Clause,2016-10-19 05:46:52.000,2023-10-11 19:12:48.654000,2023-05-26 18:23:37,117.0,,228.0,44.0,36.0,45.0,21.0,1820.0,Parallel t-SNE implementation with Python and Torch wrappers.,17.0,25,True,2017-11-08 13:32:20.000,0.0.1,3.0,MulticoreTSNE,conda-forge/multicore-tsne,,,['pytorch'],436.0,414.0,https://pypi.org/project/MulticoreTSNE,2019-01-09 07:23:04.000,22.0,11270.0,12226.0,https://anaconda.org/conda-forge/multicore-tsne,2023-10-11 19:12:48.654,30613.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +517,HyperTools,ContextLab/hypertools,data-viz,,https://github.com/ContextLab/hypertools,https://github.com/ContextLab/hypertools,MIT,2016-09-27 21:31:25.000,2023-08-06 22:24:12.000000,2022-02-12 02:32:06,1636.0,,160.0,60.0,66.0,65.0,129.0,1790.0,A Python toolbox for gaining geometric insights into high-dimensional data.,21.0,25,False,2022-02-12 03:29:55.000,0.8.0,21.0,hypertools,,,,,352.0,342.0,https://pypi.org/project/hypertools,2022-02-12 02:43:24.000,10.0,589.0,589.0,,,,,,,,3.0,30.0,,,,,,,,,,,,,,,,,,, +518,garage,rlworkgroup/garage,reinforcement-learning,,https://github.com/rlworkgroup/garage,https://github.com/rlworkgroup/garage,MIT,2018-06-10 21:31:23.000,2023-05-04 14:44:22.000000,2023-01-04 06:06:27,1221.0,,299.0,56.0,1313.0,233.0,810.0,1757.0,A toolkit for reproducible reinforcement learning research.,79.0,25,True,2021-03-23 22:18:36.000,2021.3.0,21.0,garage,,,,['tensorflow'],94.0,92.0,https://pypi.org/project/garage,2021-03-23 22:18:36.000,2.0,751.0,751.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +519,Hivemind,learning-at-home/hivemind,distributed-ml,,https://github.com/learning-at-home/hivemind,https://github.com/learning-at-home/hivemind,MIT,2020-02-27 13:50:19.000,2023-12-05 17:37:33.000000,2023-12-04 14:09:45,571.0,4.0,119.0,53.0,447.0,60.0,102.0,1718.0,Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.,29.0,25,True,2023-08-31 20:07:52.000,1.1.10,27.0,hivemind,,,,,85.0,78.0,https://pypi.org/project/hivemind,2023-08-31 20:07:10.000,7.0,3653.0,3653.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +520,Talos,autonomio/talos,hyperopt,,https://github.com/autonomio/talos,https://github.com/autonomio/talos,MIT,2018-05-04 20:36:41.000,2023-11-21 03:54:52.000000,2022-09-18 16:01:20,637.0,,268.0,28.0,183.0,9.0,389.0,1598.0,"Hyperparameter Optimization for TensorFlow, Keras and PyTorch.",22.0,25,False,2022-05-28 10:07:13.000,1.3,17.0,talos,,,,['tensorflow'],176.0,168.0,https://pypi.org/project/talos,2022-05-28 10:07:34.000,8.0,1209.0,1209.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +521,Explainability 360,Trusted-AI/AIX360,interpretability,,https://github.com/Trusted-AI/AIX360,https://github.com/Trusted-AI/AIX360,Apache-2.0,2019-07-11 07:17:48.000,2023-09-20 03:33:51.000000,2023-08-22 14:21:42,580.0,,302.0,54.0,115.0,54.0,29.0,1447.0,Interpretability and explainability of data and machine learning models.,41.0,25,True,2023-07-31 18:54:38.000,0.3.0,5.0,aix360,,,,,87.0,86.0,https://pypi.org/project/aix360,2023-07-31 18:54:38.000,1.0,2001.0,2001.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +522,keras-ocr,faustomorales/keras-ocr,ocr,,https://github.com/faustomorales/keras-ocr,https://github.com/faustomorales/keras-ocr,MIT,2019-09-20 23:08:50.000,2023-11-06 16:35:44.000000,2023-11-06 15:20:05,206.0,2.0,322.0,49.0,43.0,94.0,,1276.0,A packaged and flexible version of the CRAFT text detector and Keras CRNN recognition model.,18.0,25,True,2023-11-06 16:35:44.000,0.9.3,33.0,keras-ocr,anaconda/keras-ocr,,,['tensorflow'],373.0,365.0,https://pypi.org/project/keras-ocr,2023-11-06 16:35:44.000,8.0,21430.0,40037.0,https://anaconda.org/anaconda/keras-ocr,2023-06-16 19:23:39.693,297.0,,,,,3.0,725381.0,,,,,,,,,,,,,,,,,,, +523,livelossplot,stared/livelossplot,ml-experiments,,https://github.com/stared/livelossplot,https://github.com/stared/livelossplot,MIT,2018-03-10 17:51:43.000,2022-07-15 12:45:07.000000,2022-04-04 16:13:36,330.0,,141.0,29.0,63.0,7.0,70.0,1270.0,"Live training loss plot in Jupyter Notebook for Keras, PyTorch and others.",17.0,25,False,2022-04-04 16:14:08.000,0.5.5,25.0,livelossplot,,,,['jupyter'],1295.0,1282.0,https://pypi.org/project/livelossplot,2022-04-04 16:14:08.000,13.0,20505.0,20505.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +524,TFEncrypted,tf-encrypted/tf-encrypted,privacy-ml,,https://github.com/tf-encrypted/tf-encrypted,https://github.com/tf-encrypted/tf-encrypted,Apache-2.0,2018-03-21 18:22:13.000,2023-10-19 08:20:16.000000,2023-02-08 02:25:50,604.0,,201.0,54.0,460.0,142.0,293.0,1168.0,A Framework for Encrypted Machine Learning in TensorFlow.,29.0,25,True,2023-02-08 02:53:00.720,0.9.1,41.0,tf-encrypted,,,,['tensorflow'],73.0,64.0,https://pypi.org/project/tf-encrypted,2022-11-16 09:12:55.841,9.0,914.0,914.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +525,metricflow,transform-data/metricflow,others,,https://github.com/dbt-labs/metricflow,https://github.com/dbt-labs/metricflow,,2022-04-04 18:33:06.000,2023-12-07 00:54:27.000000,2023-12-07 00:54:26,1893.0,153.0,77.0,18.0,690.0,70.0,163.0,994.0,"MetricFlow allows you to define, build, and maintain metrics in code.",41.0,25,False,2023-11-15 23:21:15.000,0.203.1,67.0,metricflow,,,,,14.0,11.0,https://pypi.org/project/metricflow,2023-12-06 17:47:47.000,3.0,21840.0,21840.0,,,,,,,,3.0,,,,dbt-labs/metricflow,,,,,,,,,,,,,,,, +526,hls4ml,fastmachinelearning/hls4ml,model-serialisation,,https://github.com/fastmachinelearning/hls4ml,https://github.com/fastmachinelearning/hls4ml,Apache-2.0,2017-10-25 21:43:56.000,2023-12-07 03:37:43.000000,2023-11-27 23:35:30,1811.0,61.0,360.0,57.0,459.0,160.0,250.0,979.0,Machine learning on FPGAs using HLS.,56.0,25,True,2023-11-16 00:11:22.000,0.8.0,15.0,hls4ml,conda-forge/hls4ml,,,"['tensorflow', 'pytorch']",,,https://pypi.org/project/hls4ml,2023-11-16 00:11:22.000,,763.0,944.0,https://anaconda.org/conda-forge/hls4ml,2023-06-16 19:22:51.232,7068.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +527,GPyOpt,SheffieldML/GPyOpt,hyperopt,,https://github.com/SheffieldML/GPyOpt,https://github.com/SheffieldML/GPyOpt,BSD-3-Clause,2014-08-13 09:58:25.000,2023-01-17 18:04:41.000000,2023-01-17 18:04:41,515.0,,253.0,42.0,72.0,103.0,188.0,901.0,Gaussian Process Optimization using GPy.,49.0,25,True,2020-03-19 21:21:18.000,1.2.6,11.0,gpyopt,,,,,512.0,474.0,https://pypi.org/project/gpyopt,2020-03-19 11:37:45.000,38.0,7165.0,7165.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +528,PyTorch Sparse,rusty1s/pytorch_sparse,pytorch-utils,,https://github.com/rusty1s/pytorch_sparse,https://github.com/rusty1s/pytorch_sparse,MIT,2018-07-28 18:46:53.000,2023-11-28 06:50:22.700000,2023-11-09 15:26:22,727.0,3.0,143.0,16.0,100.0,27.0,228.0,896.0,PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations.,44.0,25,True,2023-10-06 08:51:55.000,0.6.18,31.0,torch-sparse,conda-forge/pytorch_sparse,,,['pytorch'],75.0,,https://pypi.org/project/torch-sparse,2023-10-06 08:51:55.000,75.0,28663.0,34341.0,https://anaconda.org/conda-forge/pytorch_sparse,2023-11-28 06:50:22.700,238487.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +529,Baal,baal-org/baal,probabilistics,,https://github.com/baal-org/baal,https://github.com/baal-org/baal,Apache-2.0,2019-09-30 20:16:26.000,2023-12-02 22:09:26.000000,2023-12-02 22:09:25,222.0,10.0,81.0,21.0,153.0,24.0,82.0,803.0,Library to enable Bayesian active learning in your research or labeling work.,21.0,25,True,2023-10-02 19:58:51.000,1.9.1,19.0,baal,conda-forge/baal,,,,53.0,52.0,https://pypi.org/project/baal,2023-10-02 19:57:48.000,1.0,2419.0,2633.0,https://anaconda.org/conda-forge/baal,2023-06-12 15:14:19.747,7505.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +530,Objax,google/objax,ml-frameworks,,https://github.com/google/objax,https://github.com/google/objax,Apache-2.0,2020-08-20 06:20:40.000,2023-11-06 22:17:29.000000,2023-11-06 22:11:24,461.0,12.0,78.0,25.0,160.0,51.0,62.0,747.0,Objax is a machine learning framework that provides an Object Oriented layer for JAX.,26.0,25,True,2023-11-06 22:17:30.000,1.8.0,11.0,objax,,,,['jax'],47.0,43.0,https://pypi.org/project/objax,2023-11-06 22:03:10.000,4.0,2803.0,2803.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +531,tinytag,devsnd/tinytag,audio,,https://github.com/devsnd/tinytag,https://github.com/devsnd/tinytag,MIT,2014-01-27 15:27:01.000,2023-11-30 08:29:05.000000,2023-10-26 19:25:33,460.0,9.0,101.0,23.0,86.0,15.0,94.0,634.0,"Read audio and music meta data and duration of MP3, OGG, OPUS, MP4, M4A, FLAC, WMA, Wave and AIFF files with python 2..",26.0,25,True,2023-10-26 19:30:36.000,1.10.1,41.0,tinytag,,,,,111.0,,https://pypi.org/project/tinytag,2023-10-26 19:30:36.000,111.0,23670.0,23670.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +532,Torchbearer,pytorchbearer/torchbearer,ml-frameworks,,https://github.com/pytorchbearer/torchbearer,https://github.com/pytorchbearer/torchbearer,MIT,2018-03-12 16:30:42.000,2023-12-04 11:10:47.000000,2023-12-04 11:10:46,442.0,12.0,68.0,26.0,433.0,10.0,237.0,630.0,torchbearer: A model fitting library for PyTorch.,14.0,25,True,2023-12-01 18:48:07.000,0.5.5,26.0,torchbearer,,,,['pytorch'],88.0,84.0,https://pypi.org/project/torchbearer,2023-12-01 18:48:07.000,4.0,1461.0,1461.0,,,,,,,,3.0,,2.0,,,,,,,,,,,,,,,,,, +533,python-soundfile,bastibe/python-soundfile,audio,,https://github.com/bastibe/python-soundfile,https://github.com/bastibe/python-soundfile,BSD-3-Clause,2013-08-27 13:36:52.000,2023-11-06 08:05:38.000000,2023-10-14 06:13:02,551.0,2.0,93.0,17.0,191.0,95.0,135.0,609.0,"SoundFile is an audio library based on libsndfile, CFFI, and NumPy.",31.0,25,True,2023-02-15 15:39:02.000,0.12.1,15.0,soundfile,anaconda/pysoundfile,,,,274.0,,https://pypi.org/project/soundfile,2023-02-15 15:39:00.786,274.0,1524011.0,1524151.0,https://anaconda.org/anaconda/pysoundfile,,,,,,,3.0,16596.0,,,,,,,,,,,,,,,,,,, +534,SKLL,EducationalTestingService/skll,ml-experiments,,https://github.com/EducationalTestingService/skll,https://github.com/EducationalTestingService/skll,BSD-1-Clause,2013-08-02 14:31:46.000,2023-12-07 14:34:03.000000,2023-11-14 19:40:38,3703.0,10.0,67.0,47.0,350.0,21.0,388.0,547.0,SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.,37.0,25,False,2023-11-14 15:08:13.000,4.0.1,69.0,skll,conda-forge/skll,,,['sklearn'],58.0,40.0,https://pypi.org/project/skll,2023-11-14 15:04:40.000,18.0,577.0,1076.0,https://anaconda.org/conda-forge/skll,2023-11-15 00:08:06.079,12492.0,,,,,3.0,13.0,,,,,,,,,,,,,,,,,,, +535,pyRiemann,pyRiemann/pyRiemann,ml-frameworks,,https://github.com/pyRiemann/pyRiemann,https://github.com/pyRiemann/pyRiemann,BSD-3-Clause,2015-04-19 16:01:44.000,2023-12-07 12:36:21.000000,2023-10-13 07:25:01,516.0,6.0,150.0,31.0,171.0,8.0,97.0,537.0,Machine learning for multivariate data analysis through the Riemannian geometry of symmetric or Hermitian positive..,28.0,25,True,2023-06-20 08:57:52.000,0.5,11.0,pyriemann,conda-forge/pyriemann,,https://pyriemann.readthedocs.io/en/latest/,['sklearn'],312.0,294.0,https://pypi.org/project/pyriemann,2022-07-17 13:53:18.565,18.0,26238.0,26500.0,https://anaconda.org/conda-forge/pyriemann,2023-06-20 10:39:38.006,4728.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +536,SUOD,yzhao062/SUOD,others,,https://github.com/yzhao062/SUOD,https://github.com/yzhao062/SUOD,BSD-2-Clause,2019-11-20 00:23:54.000,2023-11-19 21:07:53.000000,2023-11-19 20:49:10,166.0,13.0,47.0,17.0,2.0,9.0,3.0,361.0,(MLSys 21) An Acceleration System for Large-scare Unsupervised Heterogeneous Outlier Detection (Anomaly Detection).,3.0,25,True,2023-11-19 21:07:53.000,0.1.1,12.0,suod,,,,,496.0,494.0,https://pypi.org/project/suod,2023-11-19 21:07:53.000,2.0,85928.0,85928.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +537,pymap3d,geospace-code/pymap3d,geospatial-data,,https://github.com/geospace-code/pymap3d,https://github.com/geospace-code/pymap3d,BSD-2-Clause,2014-08-03 04:28:03.000,2023-11-26 01:06:29.000000,2023-11-26 01:06:21,757.0,20.0,80.0,13.0,30.0,9.0,46.0,347.0,pure-Python (Numpy optional) 3D coordinate conversions for geospace ecef enu eci.,18.0,25,True,2023-03-05 05:35:05.094,3.0.1,57.0,pymap3d,conda-forge/pymap3d,,,,356.0,334.0,https://pypi.org/project/pymap3d,2023-03-05 05:35:05.094,22.0,70484.0,71935.0,https://anaconda.org/conda-forge/pymap3d,2023-06-16 19:18:14.535,65308.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +538,scikit-posthocs,maximtrp/scikit-posthocs,probabilistics,,https://github.com/maximtrp/scikit-posthocs,https://github.com/maximtrp/scikit-posthocs,MIT,2017-06-22 19:41:37.000,2023-11-07 12:32:53.282000,2023-11-06 16:34:31,520.0,8.0,37.0,5.0,12.0,6.0,46.0,303.0,Multiple Pairwise Comparisons (Post Hoc) Tests in Python.,13.0,25,True,2023-11-06 17:10:51.000,0.8.0,23.0,scikit-posthocs,conda-forge/scikit-posthocs,,,['sklearn'],578.0,549.0,https://pypi.org/project/scikit-posthocs,2023-11-06 17:10:51.000,29.0,67380.0,91174.0,https://anaconda.org/conda-forge/scikit-posthocs,2023-11-07 12:32:53.282,904174.0,,,,,3.0,39.0,,,,,,,,,,,,,,,,,,, +539,gokart,m3dev/gokart,ml-experiments,,https://github.com/m3dev/gokart,https://github.com/m3dev/gokart,MIT,2018-12-23 07:40:27.000,2023-12-02 03:15:41.000000,2023-12-02 03:15:40,516.0,13.0,54.0,40.0,264.0,17.0,59.0,294.0,"Gokart solves reproducibility, task dependencies, constraints of good code, and ease of use for Machine Learning..",37.0,25,False,2023-11-21 05:30:42.000,1.2.5,72.0,gokart,,,,,79.0,74.0,https://pypi.org/project/gokart,2023-11-21 05:30:42.000,5.0,5481.0,5481.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +540,PyStan,stan-dev/pystan,probabilistics,,https://github.com/stan-dev/pystan,https://github.com/stan-dev/pystan,ISC,2017-03-06 19:56:42.094,2023-10-05 14:57:15.000000,2023-10-05 14:57:15,219.0,2.0,53.0,14.0,196.0,13.0,184.0,288.0,"PyStan, a Python interface to Stan, a platform for statistical modeling. Documentation: https://pystan.readthedocs.io.",13.0,25,False,2023-04-23 19:42:01.507,3.7.0,69.0,pystan,conda-forge/pystan,,,,261.0,,https://pypi.org/project/pystan,2023-04-23 19:42:01.507,261.0,1590865.0,1625204.0,https://anaconda.org/conda-forge/pystan,2023-06-16 13:14:39.735,2781486.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +541,T5,google-research/text-to-text-transfer-transformer,nlp,,https://github.com/google-research/text-to-text-transfer-transformer,https://github.com/google-research/text-to-text-transfer-transformer,Apache-2.0,2019-10-17 21:45:14.000,2023-12-06 17:30:35.000000,2023-11-30 15:56:19,596.0,4.0,728.0,106.0,587.0,105.0,345.0,5624.0,Code for the paper Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer.,58.0,24,True,2023-03-30 16:55:07.154,0.9.4,29.0,t5,,,,['tensorflow'],2.0,,https://pypi.org/project/t5,2021-10-18 13:55:26.000,2.0,39598.0,39598.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +542,MMF,facebookresearch/mmf,image,,https://github.com/facebookresearch/mmf,https://github.com/facebookresearch/mmf,BSD-3-Clause,2018-06-27 04:52:40.000,2023-11-30 16:50:36.000000,2023-11-30 16:45:02,1094.0,4.0,881.0,117.0,674.0,238.0,542.0,5341.0,A modular framework for vision & language multimodal research from Facebook AI Research (FAIR).,116.0,24,True,2019-08-26 19:04:21.000,0.3.1,12.0,mmf,,,,['pytorch'],15.0,14.0,https://pypi.org/project/mmf,2020-06-12 22:15:02.000,1.0,311.0,311.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +543,textgenrnn,minimaxir/textgenrnn,nlp,,https://github.com/minimaxir/textgenrnn,https://github.com/minimaxir/textgenrnn,MIT,2017-08-07 02:13:37.000,2022-07-17 19:07:49.000000,2020-07-14 02:41:10,174.0,,749.0,138.0,43.0,141.0,98.0,4930.0,Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines..,19.0,24,False,2020-02-03 01:07:00.000,2.0.0,14.0,textgenrnn,,,,['tensorflow'],1120.0,1104.0,https://pypi.org/project/textgenrnn,2020-02-02 21:16:15.000,16.0,909.0,922.0,,,,,,,,3.0,886.0,,,,,,,,,,,,,,,,,,, +544,MMLSpark,microsoft/SynapseML,distributed-ml,,https://github.com/microsoft/SynapseML,https://github.com/microsoft/SynapseML,MIT,2017-06-05 08:23:44.000,2023-12-07 02:12:41.000000,2023-12-05 18:31:50,1553.0,61.0,821.0,146.0,1449.0,326.0,397.0,4880.0,Simple and Distributed Machine Learning.,115.0,24,True,2023-11-02 01:41:54.000,1.0.1,42.0,mmlspark,,,,['spark'],,,https://pypi.org/project/mmlspark,2020-03-18 01:27:31.000,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +545,scikit-opt,guofei9987/scikit-opt,sklearn-utils,,https://github.com/guofei9987/scikit-opt,https://github.com/guofei9987/scikit-opt,MIT,2017-12-05 10:20:41.000,2023-11-19 13:26:15.000000,2023-11-19 13:26:15,334.0,6.0,919.0,46.0,30.0,63.0,111.0,4606.0,"Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune..",20.0,24,True,2022-01-14 08:49:08.000,0.6.6,23.0,scikit-opt,,,,['sklearn'],170.0,162.0,https://pypi.org/project/scikit-opt,2022-01-14 08:49:08.000,8.0,3209.0,3209.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +546,segmentation_models,qubvel/segmentation_models,image,,https://github.com/qubvel/segmentation_models,https://github.com/qubvel/segmentation_models,MIT,2018-06-05 13:27:56.000,2023-08-31 07:24:48.000000,2022-07-29 10:37:24,205.0,,989.0,93.0,62.0,248.0,269.0,4497.0,Segmentation models with pretrained backbones. Keras and TensorFlow Keras.,14.0,24,False,2020-01-10 11:36:02.000,1.0.1,8.0,segmentation_models,,,,['tensorflow'],28.0,,https://pypi.org/project/segmentation_models,2020-01-10 11:36:02.000,28.0,18287.0,18287.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +547,Stable Baselines,hill-a/stable-baselines,reinforcement-learning,,https://github.com/hill-a/stable-baselines,https://github.com/hill-a/stable-baselines,MIT,2018-07-02 14:28:59.000,2022-09-04 14:04:44.000000,2022-09-04 14:04:44,839.0,,714.0,66.0,247.0,124.0,822.0,3950.0,"A fork of OpenAI Baselines, implementations of reinforcement learning algorithms.",114.0,24,False,2021-04-06 12:38:10.521,2.10.2,31.0,stable-baselines,,,,,35.0,,https://pypi.org/project/stable-baselines,2021-04-06 12:38:10.521,35.0,5672.0,5672.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +548,MatchZoo,NTMC-Community/MatchZoo,nlp,,https://github.com/NTMC-Community/MatchZoo,https://github.com/NTMC-Community/MatchZoo,Apache-2.0,2017-06-08 08:55:22.000,2021-06-03 02:58:49.000000,2021-06-02 17:38:16,1810.0,,917.0,178.0,385.0,33.0,430.0,3804.0,"Facilitating the design, comparison and sharing of deep text matching models.",36.0,24,False,2019-10-24 13:09:11.000,2.2.0,5.0,matchzoo,,,,['tensorflow'],15.0,15.0,https://pypi.org/project/matchzoo,2019-10-24 13:09:11.000,,100.0,100.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +549,AdaNet,tensorflow/adanet,hyperopt,,https://github.com/tensorflow/adanet,https://github.com/tensorflow/adanet,Apache-2.0,2018-06-28 20:20:24.000,2023-11-30 16:30:21.000000,2021-08-30 19:33:24,440.0,,529.0,175.0,50.0,65.0,49.0,3473.0,Fast and flexible AutoML with learning guarantees.,27.0,24,False,2020-07-09 21:03:28.000,0.9.0,13.0,adanet,,,,['tensorflow'],59.0,56.0,https://pypi.org/project/adanet,2020-07-09 21:03:28.000,3.0,87.0,87.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +550,PyTorch-BigGraph,facebookresearch/PyTorch-BigGraph,graph,,https://github.com/facebookresearch/PyTorch-BigGraph,https://github.com/facebookresearch/PyTorch-BigGraph,BSD-3-Clause,2018-10-01 20:41:16.000,2023-11-06 16:44:05.000000,2023-11-06 16:37:37,171.0,2.0,445.0,91.0,78.0,65.0,137.0,3311.0,Generate embeddings from large-scale graph-structured data.,31.0,24,True,2019-10-14 16:45:11.000,1.0.0,4.0,torchbiggraph,,,,['pytorch'],3.0,,https://pypi.org/project/torchbiggraph,2019-10-14 16:44:41.000,3.0,293974.0,293976.0,,,,,,,,2.0,163.0,,,,,,,,,,,,,,,,,,, +551,PARL,PaddlePaddle/PARL,reinforcement-learning,,https://github.com/PaddlePaddle/PARL,https://github.com/PaddlePaddle/PARL,Apache-2.0,2018-04-25 17:54:22.000,2023-09-22 09:55:14.000000,2023-05-19 17:52:25,508.0,,811.0,62.0,629.0,106.0,396.0,3100.0,A high-performance distributed training framework for Reinforcement Learning.,42.0,24,True,2023-03-14 02:03:08.557,2.2.1,29.0,parl,,,,['paddle'],121.0,120.0,https://pypi.org/project/parl,2022-05-13 04:46:41.000,1.0,739.0,739.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +552,PandasGUI,adamerose/pandasgui,data-viz,,https://github.com/adamerose/PandasGUI,https://github.com/adamerose/PandasGUI,MIT-0,2019-06-12 02:19:42.000,2023-12-06 15:14:17.000000,2023-12-06 15:14:17,718.0,3.0,217.0,54.0,35.0,69.0,121.0,3063.0,A GUI for Pandas DataFrames.,14.0,24,False,2023-02-11 20:04:00.783,0.2.14,44.0,pandasgui,conda-forge/pandasgui,,,['pandas'],321.0,316.0,https://pypi.org/project/pandasgui,2021-08-14 09:14:51.000,5.0,3514.0,4101.0,https://anaconda.org/conda-forge/pandasgui,2023-06-16 19:24:31.206,20566.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +553,ffcv,libffcv/ffcv,image,,https://github.com/libffcv/ffcv,https://github.com/libffcv/ffcv,Apache-2.0,2021-10-13 17:03:39.000,2023-12-03 13:55:18.000000,2023-08-24 15:33:37,935.0,,168.0,20.0,74.0,90.0,167.0,2670.0,FFCV: Fast Forward Computer Vision (and other ML workloads!).,27.0,24,True,2023-03-05 05:44:00.314,1.0.2,7.0,ffcv,,,,,35.0,34.0,https://pypi.org/project/ffcv,2022-01-28 20:40:22.000,1.0,1099.0,1099.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +554,DDSP,magenta/ddsp,audio,,https://github.com/magenta/ddsp,https://github.com/magenta/ddsp,Apache-2.0,2020-01-14 18:38:27.000,2023-06-30 21:16:15.000000,2023-06-30 21:16:10,470.0,,307.0,67.0,315.0,41.0,124.0,2665.0,DDSP: Differentiable Digital Signal Processing.,32.0,24,True,2023-05-25 02:30:41.654,3.7.0,55.0,ddsp,conda-forge/ddsp,,,['tensorflow'],48.0,47.0,https://pypi.org/project/ddsp,2022-05-25 17:42:19.000,1.0,2157.0,2503.0,https://anaconda.org/conda-forge/ddsp,2023-06-16 19:19:34.916,14553.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +555,Mars,mars-project/mars,others,,https://github.com/mars-project/mars,https://github.com/mars-project/mars,Apache-2.0,2018-12-05 16:04:03.000,2023-11-02 03:31:23.000000,2023-11-02 03:13:52,1297.0,2.0,313.0,93.0,2156.0,206.0,982.0,2656.0,"Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and..",52.0,24,True,2023-02-03 19:04:11.785,0.8.1,118.0,pymars,,,,,1.0,,https://pypi.org/project/pymars,2022-06-12 11:43:21.000,1.0,30152.0,30152.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +556,kubric,google-research/kubric,image,,https://github.com/google-research/kubric,https://github.com/google-research/kubric,Apache-2.0,2020-07-22 19:56:38.000,2023-12-07 00:46:06.000000,2023-10-16 16:49:59,532.0,9.0,190.0,40.0,115.0,62.0,125.0,2055.0,A data generation pipeline for creating semi-realistic synthetic multi-object videos with rich annotations such as..,25.0,24,True,2023-12-07 00:46:06.000,2023.12.7,753.0,kubric-nightly,,,,,3.0,3.0,https://pypi.org/project/kubric-nightly,2023-12-07 00:46:06.000,,6881.0,6881.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +557,Karate Club,benedekrozemberczki/karateclub,graph,,https://github.com/benedekrozemberczki/karateclub,https://github.com/benedekrozemberczki/karateclub,GPL-3.0,2019-12-05 17:35:56.000,2023-11-15 21:03:09.000000,2023-07-01 21:39:32,2288.0,,229.0,38.0,37.0,9.0,109.0,2015.0,Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020).,17.0,24,False,2022-12-04 19:04:05.000,_10304,107.0,karateclub,conda-forge/karateclub,,,,211.0,207.0,https://pypi.org/project/karateclub,2022-10-22 16:17:27.886,4.0,3177.0,3705.0,https://anaconda.org/conda-forge/karateclub,2023-06-16 19:21:04.092,21667.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +558,sense2vec,explosion/sense2vec,nlp,,https://github.com/explosion/sense2vec,https://github.com/explosion/sense2vec,MIT,2016-01-23 22:15:49.000,2023-09-22 07:25:32.800000,2023-04-20 14:53:46,460.0,,238.0,49.0,48.0,22.0,91.0,1558.0,Contextually-keyed word vectors.,19.0,24,True,2023-04-17 14:14:02.218,2.0.2,24.0,sense2vec,conda-forge/sense2vec,,,,317.0,304.0,https://pypi.org/project/sense2vec,2021-04-19 07:05:28.000,13.0,1850.0,3958.0,https://anaconda.org/conda-forge/sense2vec,2023-09-22 07:25:32.800,35335.0,,,,,3.0,60553.0,,,,,,,,,,,,,,,,,,, +559,Feature Engine,solegalli/feature_engine,others,,https://github.com/solegalli/feature_engine,https://github.com/solegalli/feature_engine,BSD-3-Clause,2020-08-06 19:43:35.639,2023-09-19 07:41:06.631000,2022-12-07 10:32:49,237.0,,267.0,1.0,1.0,1.0,,1527.0,Feature engineering package with sklearn like functionality.,38.0,24,True,2023-09-18 14:50:58.000,1.6.2,38.0,feature_engine,conda-forge/feature_engine,,,,94.0,,https://pypi.org/project/feature_engine,2023-09-18 14:50:58.000,94.0,130889.0,131957.0,https://anaconda.org/conda-forge/feature_engine,2023-09-19 07:41:06.631,42745.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +560,NiftyNet,NifTK/NiftyNet,medical-data,,https://github.com/NifTK/NiftyNet,https://github.com/NifTK/NiftyNet,Apache-2.0,2017-08-30 07:55:43.000,2020-04-21 19:54:52.000000,2020-04-21 19:54:51,3284.0,,406.0,91.0,165.0,103.0,224.0,1347.0,[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-..,61.0,24,False,2019-10-10 10:59:33.000,0.6.0,11.0,niftynet,,,,['tensorflow'],43.0,42.0,https://pypi.org/project/niftynet,2019-10-10 10:59:33.000,1.0,97.0,97.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +561,DALEX,ModelOriented/DALEX,interpretability,,https://github.com/ModelOriented/DALEX,https://github.com/ModelOriented/DALEX,GPL-3.0,2018-02-18 03:24:12.000,2023-09-27 15:14:50.000000,2023-09-27 15:14:33,667.0,1.0,158.0,47.0,161.0,19.0,378.0,1269.0,moDel Agnostic Language for Exploration and eXplanation.,24.0,24,False,2023-02-16 21:26:00.740,1.6.0,26.0,dalex,conda-forge/dalex,,,,143.0,137.0,https://pypi.org/project/dalex,2022-09-07 14:45:39.364,6.0,18074.0,18393.0,https://anaconda.org/conda-forge/dalex,2023-06-16 19:24:13.607,11191.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +562,ChainerRL,chainer/chainerrl,reinforcement-learning,,https://github.com/chainer/chainerrl,https://github.com/chainer/chainerrl,MIT,2017-01-30 04:58:15.000,2021-08-10 18:25:48.000000,2021-04-17 06:02:30,3471.0,,224.0,73.0,415.0,75.0,147.0,1138.0,ChainerRL is a deep reinforcement learning library built on top of Chainer.,29.0,24,False,2020-02-14 05:35:56.000,0.8.0,10.0,chainerrl,,,,,168.0,158.0,https://pypi.org/project/chainerrl,2020-02-14 05:35:56.000,10.0,481.0,481.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +563,FinQuant,fmilthaler/FinQuant,financial-data,,https://github.com/fmilthaler/FinQuant,https://github.com/fmilthaler/FinQuant,MIT,2019-01-20 15:07:19.000,2023-11-04 08:38:31.000000,2023-09-03 19:16:54,508.0,,165.0,32.0,86.0,16.0,32.0,1134.0,"A program for financial portfolio management, analysis and optimisation.",11.0,24,True,2023-09-04 06:57:56.000,0.7.0,15.0,FinQuant,,,,,86.0,86.0,https://pypi.org/project/FinQuant,2023-09-04 06:57:56.000,,607.0,607.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +564,RLax,deepmind/rlax,reinforcement-learning,,https://github.com/google-deepmind/rlax,https://github.com/google-deepmind/rlax,Apache-2.0,2020-02-18 07:14:59.000,2023-11-24 11:08:54.000000,2023-11-24 11:08:47,208.0,2.0,82.0,33.0,109.0,12.0,18.0,1132.0,A library of reinforcement learning building blocks in JAX.,21.0,24,True,2023-06-29 15:05:00.621,0.1.6,10.0,rlax,,,,['jax'],185.0,183.0,https://pypi.org/project/rlax,2023-01-09 22:29:35.947,2.0,436695.0,436695.0,,,,,,,,3.0,,,,google-deepmind/rlax,,,,,,,,,,,,,,,, +565,keract,philipperemy/keract,interpretability,,https://github.com/philipperemy/keract,https://github.com/philipperemy/keract,MIT,2017-05-17 04:50:57.000,2023-11-17 11:03:05.000000,2023-11-17 10:59:26,412.0,7.0,184.0,34.0,73.0,3.0,86.0,1030.0,Layers Outputs and Gradients in Keras. Made easy.,16.0,24,True,2022-09-25 14:40:40.377,4.5.1,39.0,keract,,,,['tensorflow'],204.0,195.0,https://pypi.org/project/keract,2022-09-25 14:40:40.377,9.0,5000.0,5000.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +566,GPUtil,anderskm/gputil,gpu-utilities,,https://github.com/anderskm/gputil,https://github.com/anderskm/gputil,MIT,2017-01-16 11:57:43.000,2023-11-16 19:55:28.000000,2019-08-16 09:00:15,140.0,,106.0,12.0,20.0,15.0,15.0,1018.0,A Python module for getting the GPU status from NVIDA GPUs using nvidia-smi programmically in Python.,13.0,24,False,2018-12-18 09:12:13.000,1.4.0,8.0,gputil,,,,,4585.0,4293.0,https://pypi.org/project/gputil,2018-12-18 09:12:13.000,292.0,335527.0,335527.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +567,Neural Structured Learning,tensorflow/neural-structured-learning,tensorflow-utils,,https://github.com/tensorflow/neural-structured-learning,https://github.com/tensorflow/neural-structured-learning,Apache-2.0,2019-08-27 21:48:16.000,2023-09-20 15:32:40.000000,2023-09-20 15:32:36,567.0,1.0,191.0,49.0,61.0,1.0,68.0,973.0,Training neural models with structured signals.,38.0,24,True,2022-07-29 21:05:16.715,1.4.0,8.0,neural-structured-learning,,,,['tensorflow'],399.0,396.0,https://pypi.org/project/neural-structured-learning,2022-07-29 21:05:16.715,3.0,15452.0,15452.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +568,scikit-cuda,lebedov/scikit-cuda,gpu-utilities,,https://github.com/lebedov/scikit-cuda,https://github.com/lebedov/scikit-cuda,BSD-3-Clause,2010-09-27 02:02:07.000,2023-10-15 05:57:46.000000,2023-10-15 05:57:46,1036.0,2.0,173.0,48.0,112.0,51.0,170.0,954.0,Python interface to GPU-powered libraries.,44.0,24,True,2019-05-27 00:29:00.000,0.5.3,7.0,scikit-cuda,,,,,323.0,273.0,https://pypi.org/project/scikit-cuda,2019-05-27 00:29:00.000,50.0,750.0,750.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +569,TSFEL,fraunhoferportugal/tsfel,time-series-data,,https://github.com/fraunhoferportugal/tsfel,https://github.com/fraunhoferportugal/tsfel,BSD-3-Clause,2019-01-09 16:41:30.000,2023-11-24 10:43:36.000000,2023-11-24 10:43:28,313.0,7.0,129.0,21.0,72.0,5.0,63.0,766.0,An intuitive library to extract features from time series.,18.0,24,True,2023-08-23 07:53:53.000,0.1.6,10.0,tsfel,,,,,102.0,102.0,https://pypi.org/project/tsfel,2023-08-22 10:46:05.000,,21786.0,21786.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +570,gmaps,pbugnion/gmaps,geospatial-data,,https://github.com/pbugnion/gmaps,https://github.com/pbugnion/gmaps,BSD-3-Clause,2014-12-01 09:12:06.000,2023-06-16 13:23:14.332000,2019-07-22 06:22:45,1380.0,,150.0,25.0,154.0,79.0,137.0,760.0,Google maps for Jupyter notebooks.,16.0,24,False,2019-07-21 08:49:48.715,0.9.0,96.0,gmaps,conda-forge/gmaps,,,['jupyter'],49.0,3.0,https://pypi.org/project/gmaps,2021-12-15 15:42:57.506,44.0,4545.0,9704.0,https://anaconda.org/conda-forge/gmaps,2023-06-16 13:23:14.332,309567.0,,,,,3.0,,,,,jupyter-gmaps,https://www.npmjs.com/package/jupyter-gmaps,2019-07-21 08:49:48.715,2.0,1241.0,,,,,,,,,,, +571,NeuPy,itdxer/neupy,ml-frameworks,,https://github.com/itdxer/neupy,https://github.com/itdxer/neupy,MIT,2015-08-24 19:45:11.000,2023-01-03 21:24:56.000000,2023-01-03 21:24:56,1146.0,,159.0,33.0,25.0,33.0,235.0,738.0,NeuPy is a Tensorflow based python library for prototyping and building neural networks.,8.0,24,True,2019-04-04 19:44:59.000,0.8.2,34.0,neupy,,,,,175.0,162.0,https://pypi.org/project/neupy,2019-04-04 19:43:06.000,13.0,4563.0,4563.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +572,torch-cluster,rusty1s/pytorch_cluster,graph,,https://github.com/rusty1s/pytorch_cluster,https://github.com/rusty1s/pytorch_cluster,MIT,2018-01-12 20:56:06.000,2023-11-22 14:07:25.760000,2023-10-11 13:01:19,594.0,3.0,127.0,16.0,53.0,27.0,121.0,718.0,PyTorch Extension Library of Optimized Graph Cluster Algorithms.,32.0,24,True,2023-10-12 06:54:28.000,1.6.3,43.0,torch-cluster,conda-forge/pytorch_cluster,,,['pytorch'],45.0,,https://pypi.org/project/torch-cluster,2023-10-12 06:52:43.000,45.0,14587.0,16512.0,https://anaconda.org/conda-forge/pytorch_cluster,2023-11-22 14:07:25.760,82797.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +573,pySBD,nipunsadvilkar/pySBD,nlp,,https://github.com/nipunsadvilkar/pySBD,https://github.com/nipunsadvilkar/pySBD,MIT,2017-06-11 06:15:20.000,2023-08-27 04:36:31.000000,2021-02-11 16:40:18,279.0,,72.0,13.0,48.0,22.0,53.0,677.0,pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence boundary detection that works out-of-the-box.,7.0,24,False,2021-02-11 16:42:37.000,0.3.4,15.0,pysbd,conda-forge/pysbd,,,,1068.0,1039.0,https://pypi.org/project/pysbd,2021-02-11 16:36:33.000,29.0,225487.0,225675.0,https://anaconda.org/conda-forge/pysbd,2023-06-16 19:27:37.870,4894.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +574,Mapbox GL,mapbox/mapboxgl-jupyter,geospatial-data,,https://github.com/mapbox/mapboxgl-jupyter,https://github.com/mapbox/mapboxgl-jupyter,MIT,2017-08-08 15:10:51.000,2022-01-11 05:18:07.000000,2021-04-19 05:00:36,221.0,,138.0,128.0,91.0,43.0,67.0,644.0,Use Mapbox GL JS to visualize data in a Python Jupyter notebook.,22.0,24,False,2019-06-03 21:24:10.000,0.10.2,20.0,mapboxgl,,,,['jupyter'],194.0,179.0,https://pypi.org/project/mapboxgl,2019-06-02 16:02:54.380,15.0,11572.0,11572.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +575,FEDOT,nccr-itmo/FEDOT,hyperopt,,https://github.com/aimclub/FEDOT,https://github.com/aimclub/FEDOT,BSD-3-Clause,2020-01-13 12:48:37.000,2023-12-07 14:13:11.000000,2023-12-06 11:55:55,836.0,18.0,80.0,9.0,690.0,87.0,421.0,568.0,Automated modeling and machine learning framework FEDOT.,30.0,24,True,2023-07-25 13:20:41.000,0.7.2,19.0,fedot,,,,,44.0,43.0,https://pypi.org/project/fedot,2023-07-25 13:17:29.000,1.0,777.0,777.0,,,,,,,,2.0,,,,aimclub/FEDOT,,,,,,,,,,,,,,,, +576,pyvips,libvips/pyvips,image,,https://github.com/libvips/pyvips,https://github.com/libvips/pyvips,MIT,2017-07-28 16:39:43.000,2023-10-18 13:09:12.000000,2023-10-18 13:08:59,466.0,6.0,48.0,8.0,51.0,157.0,229.0,557.0,python binding for libvips using cffi.,16.0,24,True,2022-06-12 09:54:07.000,2.2.1,24.0,pyvips,conda-forge/pyvips,,,,679.0,629.0,https://pypi.org/project/pyvips,2022-06-12 09:54:07.000,50.0,52934.0,54781.0,https://anaconda.org/conda-forge/pyvips,2023-09-26 03:23:28.071,70214.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +577,findspark,minrk/findspark,others,,https://github.com/minrk/findspark,https://github.com/minrk/findspark,BSD-3-Clause,2015-06-12 21:34:06.000,2023-06-16 13:16:45.065000,2022-02-11 07:59:35,77.0,,72.0,9.0,17.0,11.0,12.0,500.0,Find pyspark to make it importable.,15.0,24,False,2022-02-11 08:02:06.000,2.0.1,14.0,findspark,conda-forge/findspark,,,['spark'],4162.0,3998.0,https://pypi.org/project/findspark,2022-02-11 08:02:06.000,164.0,1998350.0,2008064.0,https://anaconda.org/conda-forge/findspark,2023-06-16 13:16:45.065,874279.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +578,featurewiz,AutoViML/featurewiz,hyperopt,,https://github.com/AutoViML/featurewiz,https://github.com/AutoViML/featurewiz,Apache-2.0,2020-11-29 16:46:16.000,2023-12-07 00:07:38.000000,2023-12-05 01:50:41,317.0,39.0,85.0,7.0,19.0,,77.0,498.0,Use advanced feature engineering strategies and select best features from your data set with a single line of code.,16.0,24,True,2023-12-05 01:51:24.000,0.4.7,153.0,featurewiz,,,,,64.0,62.0,https://pypi.org/project/featurewiz,2023-12-05 01:51:24.000,2.0,13601.0,13601.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +579,whoosh,mchaput/whoosh,nlp,,https://github.com/mchaput/whoosh,https://github.com/mchaput/whoosh,BSD-1-Clause,2015-04-17 19:34:47.000,2023-09-23 13:28:08.196000,2022-01-15 18:08:37,1718.0,,58.0,14.0,11.0,33.0,6.0,484.0,Pure-Python full-text search library.,42.0,24,False,2016-04-04 01:19:40.000,2.7.4,141.0,whoosh,conda-forge/whoosh,,,,3695.0,,https://pypi.org/project/whoosh,2016-04-04 01:19:40.000,3695.0,315839.0,322895.0,https://anaconda.org/conda-forge/whoosh,2023-09-23 13:28:08.196,218761.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +580,MONAILabel,Project-MONAI/MONAILabel,others,,https://github.com/Project-MONAI/MONAILabel,https://github.com/Project-MONAI/MONAILabel,Apache-2.0,2021-03-26 15:25:10.000,2023-12-05 12:09:17.000000,2023-12-05 12:09:16,955.0,23.0,167.0,25.0,821.0,90.0,382.0,475.0,MONAI Label is an intelligent open source image labeling and learning tool.,55.0,24,True,2023-10-18 15:08:49.000,0.8.0,114.0,monailabel-weekly,,,,,,,https://pypi.org/project/monailabel-weekly,2023-10-01 02:24:07.000,,119.0,2461.0,,,,,,,,3.0,67934.0,,,,,,,,,,,,,,,,,,, +581,vega,vega/ipyvega,data-viz,,https://github.com/vega/ipyvega,https://github.com/vega/ipyvega,BSD-3-Clause,2015-08-04 03:22:47.000,2023-12-01 01:38:15.000000,2023-12-01 01:29:10,652.0,9.0,62.0,29.0,428.0,13.0,91.0,363.0,IPython/Jupyter notebook module for Vega and Vega-Lite.,15.0,24,True,2023-07-18 13:09:18.000,4.0.0,40.0,vega,conda-forge/vega,,,['jupyter'],86.0,3.0,https://pypi.org/project/vega,2023-04-12 02:09:01.110,83.0,8158.0,14507.0,https://anaconda.org/conda-forge/vega,2023-06-16 13:18:03.216,571475.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +582,TensorFlow Cloud,tensorflow/cloud,tensorflow-utils,,https://github.com/tensorflow/cloud,https://github.com/tensorflow/cloud,Apache-2.0,2020-02-10 18:51:59.000,2023-10-20 17:29:31.000000,2023-10-20 17:29:28,575.0,1.0,84.0,29.0,317.0,75.0,27.0,362.0,The TensorFlow Cloud repository provides APIs that will allow to easily go from debugging and training your Keras and..,27.0,24,True,2021-06-17 01:15:10.000,0.1.16,19.0,tensorflow-cloud,,,,['tensorflow'],329.0,322.0,https://pypi.org/project/tensorflow-cloud,2021-06-17 01:15:10.000,7.0,42759.0,42759.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +583,Orion,Epistimio/orion,hyperopt,,https://github.com/Epistimio/orion,https://github.com/Epistimio/orion,BSD-3-Clause,2017-09-07 06:05:21.000,2023-11-17 21:48:32.000000,2023-11-17 21:43:05,4051.0,14.0,48.0,14.0,711.0,217.0,203.0,271.0,Asynchronous Distributed Hyperparameter Optimization.,32.0,24,False,2023-03-02 22:26:01.035,0.2.7,26.0,orion,,,,,104.0,96.0,https://pypi.org/project/orion,2022-08-22 17:10:40.826,8.0,967.0,967.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +584,lkpy,lenskit/lkpy,recommender-systems,,https://github.com/lenskit/lkpy,https://github.com/lenskit/lkpy,MIT,2018-06-08 21:05:10.000,2023-11-12 00:58:57.000000,2023-11-12 00:58:57,2511.0,58.0,56.0,8.0,234.0,30.0,77.0,248.0,Python recommendation toolkit.,13.0,24,False,2022-08-16 20:29:07.512,0.14.2,23.0,lenskit,conda-forge/lenskit,,,,98.0,94.0,https://pypi.org/project/lenskit,2022-08-16 20:29:07.512,4.0,1098.0,1727.0,https://anaconda.org/conda-forge/lenskit,2023-06-16 19:23:42.362,23285.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +585,Crypto Signals,CryptoSignal/crypto-signal,financial-data,,https://github.com/CryptoSignal/Crypto-Signal,https://github.com/CryptoSignal/Crypto-Signal,MIT,2017-09-16 23:49:24.000,2023-11-20 20:39:27.000000,2022-08-09 13:26:32,565.0,,1273.0,305.0,204.0,67.0,208.0,4560.0,"Github.com/CryptoSignal - Trading & Technical Analysis Bot - 4,100+ stars, 1,100+ forks.",28.0,23,False,,,,,,shadowreaver/crypto-signal,,,,,,,,,1908.0,,,,https://hub.docker.com/r/shadowreaver/crypto-signal,2020-09-03 13:00:35.801133,8.0,143102.0,3.0,,,,,,,,,,,,,,,,,,,, +586,Image Super-Resolution,idealo/image-super-resolution,image,,https://github.com/idealo/image-super-resolution,https://github.com/idealo/image-super-resolution,Apache-2.0,2018-11-26 13:41:13.000,2022-01-23 11:27:35.000000,2021-06-02 09:45:13,150.0,,706.0,102.0,32.0,101.0,113.0,4360.0,Super-scale your images and run experiments with Residual Dense and Adversarial Networks.,10.0,23,False,2020-01-08 15:37:35.000,2.2.0,11.0,ISR,,idealo/image-super-resolution-gpu,,['tensorflow'],123.0,118.0,https://pypi.org/project/ISR,2020-01-08 15:37:35.000,5.0,5626.0,5629.0,,,,https://hub.docker.com/r/idealo/image-super-resolution-gpu,2019-04-01 13:48:45.697251,1.0,229.0,3.0,,,,,,,,,,,,,,,,,,,, +587,ReAgent,facebookresearch/ReAgent,reinforcement-learning,,https://github.com/facebookresearch/ReAgent,https://github.com/facebookresearch/ReAgent,BSD-3-Clause,2017-07-27 17:53:21.000,2023-12-07 10:33:40.000000,2023-12-07 10:29:41,1582.0,9.0,500.0,153.0,609.0,69.0,75.0,3482.0,"A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.).",162.0,23,True,2020-01-27 22:06:00.000,0.0.0,2.0,reagent,,,,['pytorch'],,,https://pypi.org/project/reagent,2020-05-27 20:58:01.000,,30.0,30.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +588,Apache Singa,apache/singa,distributed-ml,,https://github.com/apache/singa,https://github.com/apache/singa,Apache-2.0,2015-04-02 07:00:05.000,2023-11-05 09:58:06.000000,2023-11-05 09:58:06,2685.0,52.0,1043.0,131.0,1025.0,53.0,72.0,3022.0,a distributed deep learning platform.,85.0,23,True,2020-04-21 08:01:08.000,3.0.0,16.0,,nusdbsystem/singa,apache/singa,,,2.0,2.0,,,,,54.0,https://anaconda.org/nusdbsystem/singa,2023-06-16 13:23:56.805,728.0,https://hub.docker.com/r/apache/singa,2022-05-31 15:24:19.649658,4.0,4842.0,3.0,,,,,,,,,,,,,,,,,,,, +589,Texthero,jbesomi/texthero,nlp,,https://github.com/jbesomi/texthero,https://github.com/jbesomi/texthero,MIT,2020-04-06 15:16:05.000,2023-08-29 08:45:13.000000,2023-08-29 08:45:10,277.0,,236.0,43.0,110.0,80.0,64.0,2827.0,"Text preprocessing, representation and visualization from zero to hero.",21.0,23,True,2021-07-01 17:11:02.000,1.1.0,10.0,texthero,,,,,6.0,,https://pypi.org/project/texthero,2021-07-01 17:11:02.000,6.0,12106.0,12108.0,,,,,,,,3.0,120.0,,,,,,,,,,,,,,,,,,, +590,tensorflow-graphics,tensorflow/graphics,image,,https://github.com/tensorflow/graphics,https://github.com/tensorflow/graphics,Apache-2.0,2019-01-08 10:39:44.000,2023-11-27 13:55:06.000000,2023-08-08 21:17:31,765.0,,362.0,93.0,546.0,144.0,92.0,2737.0,TensorFlow Graphics: Differentiable Graphics Layers for TensorFlow.,39.0,23,True,2021-12-03 22:33:39.000,2021.12.3,25.0,tensorflow-graphics,,,,['tensorflow'],9.0,,https://pypi.org/project/tensorflow-graphics,2021-12-03 22:33:39.000,9.0,5409.0,5409.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +591,analytics-zoo,intel-analytics/analytics-zoo,distributed-ml,,https://github.com/intel-analytics/analytics-zoo,https://github.com/intel-analytics/analytics-zoo,Apache-2.0,2017-05-05 02:27:30.000,2023-12-01 03:01:52.000000,2023-12-01 03:01:48,3453.0,1.0,732.0,108.0,3870.0,533.0,855.0,2592.0,"Distributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray.",108.0,23,True,2022-01-25 00:22:00.888,0.11.2,418.0,analytics-zoo,,,,['spark'],5.0,4.0,https://pypi.org/project/analytics-zoo,2022-08-22 20:19:01.213,1.0,258.0,258.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +592,Luminoth,tryolabs/luminoth,image,,https://github.com/tryolabs/luminoth,https://github.com/tryolabs/luminoth,BSD-3-Clause,2017-02-16 15:07:46.000,2023-03-24 23:52:00.000000,2020-01-07 20:53:25,838.0,,413.0,129.0,136.0,60.0,128.0,2396.0,Deep Learning toolkit for Computer Vision.,15.0,23,False,2018-11-09 21:35:17.000,0.2.3,10.0,luminoth,,,,['tensorflow'],52.0,50.0,https://pypi.org/project/luminoth,2018-11-09 21:35:17.000,2.0,2860.0,3031.0,,,,,,,,3.0,12711.0,,,,,,,,,,,,,,,,,,, +593,Kashgari,BrikerMan/Kashgari,nlp,,https://github.com/BrikerMan/Kashgari,https://github.com/BrikerMan/Kashgari,Apache-2.0,2019-01-19 01:53:28.000,2021-07-09 03:57:16.000000,2021-07-09 03:57:16,955.0,,440.0,65.0,122.0,32.0,350.0,2374.0,Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-..,21.0,23,False,2021-07-04 10:44:36.000,2.0.2,24.0,kashgari-tf,,,,['tensorflow'],64.0,62.0,https://pypi.org/project/kashgari-tf,2019-10-18 07:57:55.000,2.0,48.0,48.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +594,SRU,asappresearch/sru,pytorch-utils,,https://github.com/asappresearch/sru,https://github.com/asappresearch/sru,MIT,2017-08-28 20:37:41.000,2022-01-04 21:17:53.000000,2021-05-19 15:52:48,400.0,,303.0,67.0,78.0,63.0,68.0,2096.0,Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755).,21.0,23,False,2021-05-18 16:13:10.000,2.6.0,32.0,sru,,,,['pytorch'],28.0,25.0,https://pypi.org/project/sru,2021-06-17 23:33:37.000,3.0,1923.0,1923.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +595,FinTA,peerchemist/finta,financial-data,,https://github.com/peerchemist/finta,https://github.com/peerchemist/finta,LGPL-3.0,2016-09-01 21:02:46.000,2022-07-24 08:40:51.000000,2022-07-24 08:40:51,394.0,,642.0,82.0,48.0,24.0,64.0,2003.0,Common financial technical indicators implemented in Pandas.,28.0,23,False,2021-04-03 08:51:49.000,1.3,19.0,finta,,,,,458.0,446.0,https://pypi.org/project/finta,2020-10-21 11:39:44.000,12.0,6440.0,6440.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +596,Torchmeta,tristandeleu/pytorch-meta,pytorch-utils,,https://github.com/tristandeleu/pytorch-meta,https://github.com/tristandeleu/pytorch-meta,MIT,2018-12-04 23:36:45.000,2023-07-17 16:05:00.000000,2021-09-20 16:03:46,382.0,,237.0,45.0,33.0,51.0,90.0,1882.0,A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch.,12.0,23,False,2021-09-20 16:06:33.000,1.8.0,28.0,torchmeta,,,,['pytorch'],151.0,151.0,https://pypi.org/project/torchmeta,2021-09-20 16:06:33.000,,4748.0,4748.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +597,Magnitude,plasticityai/magnitude,nn-search,,https://github.com/plasticityai/magnitude,https://github.com/plasticityai/magnitude,MIT,2018-02-24 07:28:16.000,2023-08-03 00:59:57.000000,2020-07-17 20:19:46,350.0,,114.0,38.0,11.0,33.0,51.0,1607.0,"A fast, efficient universal vector embedding utility package.",4.0,23,False,2020-05-25 11:26:36.000,0.1.143,128.0,pymagnitude,,,,,332.0,320.0,https://pypi.org/project/pymagnitude,2020-05-25 11:26:36.000,12.0,1768.0,1768.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +598,Higher,facebookresearch/higher,pytorch-utils,,https://github.com/facebookresearch/higher,https://github.com/facebookresearch/higher,Apache-2.0,2019-09-06 18:58:36.000,2022-03-25 15:56:51.000000,2021-10-26 07:08:33,31.0,,119.0,28.0,31.0,58.0,50.0,1559.0,higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather..,9.0,23,False,2020-07-14 12:20:32.000,0.2.1,2.0,higher,,,,['pytorch'],363.0,358.0,https://pypi.org/project/higher,2020-07-14 12:20:32.000,5.0,57358.0,57358.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +599,benchmark_VAE,clementchadebec/benchmark_VAE,others,,https://github.com/clementchadebec/benchmark_VAE,https://github.com/clementchadebec/benchmark_VAE,Apache-2.0,2021-10-02 16:26:24.000,2023-10-22 18:43:46.000000,2023-10-22 18:43:46,368.0,9.0,138.0,18.0,68.0,17.0,32.0,1558.0,Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022).,15.0,23,True,2023-09-06 15:46:59.000,0.1.2,12.0,pythae,,,,['pytorch'],17.0,17.0,https://pypi.org/project/pythae,2023-09-06 15:46:59.000,,12139.0,12139.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +600,EfficientNets,rwightman/gen-efficientnet-pytorch,pytorch-utils,,https://github.com/rwightman/gen-efficientnet-pytorch,https://github.com/rwightman/gen-efficientnet-pytorch,Apache-2.0,2019-05-11 19:35:56.000,2022-07-01 09:55:35.000000,2021-07-08 19:03:55,108.0,,203.0,45.0,12.0,4.0,51.0,1547.0,"Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS.",5.0,23,False,2021-07-08 19:05:05.000,1.0.2,10.0,geffnet,,,,['pytorch'],201.0,199.0,https://pypi.org/project/geffnet,2021-07-08 19:05:05.000,2.0,6451.0,6451.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +601,fklearn,nubank/fklearn,ml-frameworks,,https://github.com/nubank/fklearn,https://github.com/nubank/fklearn,Apache-2.0,2019-02-27 14:32:57.000,2023-11-09 12:59:48.000000,2023-11-08 21:41:55,157.0,2.0,162.0,99.0,183.0,35.0,25.0,1465.0,fklearn: Functional Machine Learning.,55.0,23,True,2023-11-09 12:59:48.000,3.0.0,31.0,fklearn,,,,,13.0,13.0,https://pypi.org/project/fklearn,2023-11-09 12:59:48.000,,484.0,484.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +602,CrypTen,facebookresearch/CrypTen,privacy-ml,,https://github.com/facebookresearch/CrypTen,https://github.com/facebookresearch/CrypTen,MIT,2019-08-15 00:00:31.000,2023-09-01 16:34:21.000000,2023-08-25 22:11:00,340.0,,292.0,40.0,252.0,69.0,192.0,1387.0,A framework for Privacy Preserving Machine Learning.,33.0,23,True,2022-12-08 22:11:59.883,0.4.1,3.0,crypten,,,,['pytorch'],32.0,31.0,https://pypi.org/project/crypten,2022-12-08 22:11:59.883,1.0,362.0,362.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +603,sklearn-porter,nok/sklearn-porter,model-serialisation,,https://github.com/nok/sklearn-porter,https://github.com/nok/sklearn-porter,BSD-3-Clause,2016-06-22 22:21:34.000,2022-07-25 15:59:11.000000,2022-05-22 23:59:48,1219.0,,159.0,33.0,22.0,42.0,34.0,1255.0,"Transpile trained scikit-learn estimators to C, Java, JavaScript and others.",12.0,23,False,2019-12-18 13:39:19.000,0.7.4,20.0,sklearn-porter,,,,['sklearn'],60.0,59.0,https://pypi.org/project/sklearn-porter,2019-12-18 13:39:19.000,1.0,339.0,339.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +604,DiCE,interpretml/DiCE,interpretability,,https://github.com/interpretml/DiCE,https://github.com/interpretml/DiCE,MIT,2019-05-02 09:51:02.000,2023-12-06 00:10:55.000000,2023-12-06 00:10:50,771.0,36.0,172.0,18.0,255.0,70.0,93.0,1200.0,Generate Diverse Counterfactual Explanations for any machine learning model.,19.0,23,True,2023-10-26 11:36:48.000,0.11,12.0,dice-ml,,,,"['tensorflow', 'pytorch']",6.0,,https://pypi.org/project/dice-ml,2023-10-27 03:54:06.000,6.0,56575.0,56575.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +605,Node2Vec,eliorc/node2vec,graph,,https://github.com/eliorc/node2vec,https://github.com/eliorc/node2vec,MIT,2017-12-08 13:30:06.000,2023-08-29 11:31:26.000000,2023-08-29 11:31:26,76.0,,226.0,20.0,16.0,3.0,87.0,1137.0,Implementation of the node2vec algorithm.,12.0,23,True,2022-08-01 11:35:00.616,0.4.6,18.0,node2vec,conda-forge/node2vec,,,,535.0,515.0,https://pypi.org/project/node2vec,2022-08-01 11:35:00.616,20.0,57946.0,58349.0,https://anaconda.org/conda-forge/node2vec,2023-06-16 16:13:35.056,27034.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +606,calamari,Calamari-OCR/calamari,ocr,,https://github.com/Calamari-OCR/calamari,https://github.com/Calamari-OCR/calamari,Apache-2.0,2018-03-20 15:22:29.000,2023-10-25 14:32:27.000000,2023-08-18 11:01:23,442.0,,207.0,53.0,85.0,64.0,205.0,1006.0,Line based ATR Engine based on OCRopy.,20.0,23,True,2023-08-18 11:50:18.000,1.0.6,41.0,calamari_ocr,,,,,5.0,,https://pypi.org/project/calamari_ocr,2023-08-18 11:50:18.000,5.0,1808.0,1808.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +607,kapre,keunwoochoi/kapre,audio,,https://github.com/keunwoochoi/kapre,https://github.com/keunwoochoi/kapre,MIT,2016-12-14 18:36:36.000,2023-10-23 02:52:41.000000,2022-07-04 00:10:02,195.0,,146.0,23.0,46.0,14.0,82.0,898.0,kapre: Keras Audio Preprocessors.,13.0,23,False,2022-01-21 20:10:47.000,Kapre-0.3.7,24.0,kapre,,,,['tensorflow'],2347.0,2332.0,https://pypi.org/project/kapre,2022-01-21 20:09:21.000,15.0,1535.0,1535.0,,,,,,,,3.0,26.0,,,,,,,,,,,,,,,,,,, +608,dstack,dstackai/dstack,others,,https://github.com/dstackai/dstack,https://github.com/dstackai/dstack,MPL-2.0,2022-01-04 10:29:46.000,2023-12-06 17:32:49.000000,2023-12-06 14:50:59,1409.0,181.0,53.0,14.0,350.0,12.0,415.0,874.0,"dstack simplifies training, fine-tuning, and deploying generative AI models on any cloud. Discord:..",14.0,23,True,2023-11-29 18:26:52.000,0.12.4.post1,158.0,dstack,,,,,13.0,13.0,https://pypi.org/project/dstack,2023-11-29 20:52:00.000,,919.0,919.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +609,Pandas-Bokeh,PatrikHlobil/Pandas-Bokeh,data-viz,,https://github.com/PatrikHlobil/Pandas-Bokeh,https://github.com/PatrikHlobil/Pandas-Bokeh,MIT,2018-11-23 20:49:14.000,2023-08-14 23:20:14.000000,2023-03-06 07:52:05,311.0,,104.0,26.0,36.0,34.0,69.0,867.0,Bokeh Plotting Backend for Pandas and GeoPandas.,15.0,23,True,2021-04-11 17:43:13.000,0.5.5,16.0,pandas-bokeh,,,,['pandas'],565.0,553.0,https://pypi.org/project/pandas-bokeh,2021-04-11 17:43:13.000,12.0,19862.0,19862.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +610,icevision,airctic/icevision,image,,https://github.com/airctic/icevision,https://github.com/airctic/icevision,Apache-2.0,2020-05-04 01:57:02.000,2023-10-07 18:05:54.000000,2022-12-07 13:45:45,1234.0,,136.0,25.0,594.0,62.0,511.0,839.0,"An Agnostic Computer Vision Framework - Pluggable to any Training Library: Fastai, Pytorch-Lightning with more to come.",41.0,23,True,2022-02-10 15:55:46.374,0.12.0,41.0,icevision,,,,,6.0,,https://pypi.org/project/icevision,2022-02-10 15:55:46.374,6.0,4365.0,4365.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +611,mlens,flennerhag/mlens,others,,https://github.com/flennerhag/mlens,https://github.com/flennerhag/mlens,MIT,2017-01-10 20:53:47.000,2023-11-13 16:09:34.000000,2020-02-25 14:31:53,879.0,,101.0,29.0,60.0,20.0,74.0,809.0,ML-Ensemble high performance ensemble learning.,7.0,23,False,2018-10-30 22:34:35.000,0.2.3,14.0,mlens,,,,,352.0,348.0,https://pypi.org/project/mlens,2018-10-30 22:30:43.000,4.0,3139.0,3139.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +612,TF Compression,tensorflow/compression,tensorflow-utils,,https://github.com/tensorflow/compression,https://github.com/tensorflow/compression,Apache-2.0,2018-05-15 23:32:19.000,2023-10-13 19:56:17.000000,2023-10-12 18:15:50,276.0,4.0,243.0,45.0,18.0,8.0,91.0,790.0,Data compression in TensorFlow.,21.0,23,True,2023-10-13 19:56:17.000,2.14.0,22.0,tensorflow-compression,,,,['tensorflow'],2.0,,https://pypi.org/project/tensorflow-compression,2023-10-12 23:14:15.000,2.0,10614.0,10614.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +613,detoxify,unitaryai/detoxify,nlp,,https://github.com/unitaryai/detoxify,https://github.com/unitaryai/detoxify,Apache-2.0,2020-09-23 15:24:21.000,2023-12-01 17:08:06.000000,2023-08-23 11:46:56,231.0,,102.0,15.0,38.0,35.0,24.0,769.0,Trained models & code to predict toxic comments on all 3 Jigsaw Toxic Comment Challenges. Built using Pytorch..,11.0,23,True,2022-12-19 18:16:02.257,0.5.1,12.0,detoxify,,,,,472.0,462.0,https://pypi.org/project/detoxify,2022-12-19 18:16:02.257,10.0,20185.0,28927.0,,,,,,,,3.0,323466.0,,,,,,,,,,,,,,,,,,, +614,NeoML,neoml-lib/neoml,ml-frameworks,,https://github.com/neoml-lib/neoml,https://github.com/neoml-lib/neoml,Apache-2.0,2020-06-14 17:37:36.000,2023-12-06 17:51:05.000000,2023-11-29 19:27:26,1122.0,56.0,122.0,30.0,938.0,33.0,50.0,743.0,Machine learning framework for both deep learning and traditional algorithms.,35.0,23,True,2023-11-01 23:38:11.000,2.0.203,13.0,neoml,,,,,,,https://pypi.org/project/neoml,2023-11-01 23:38:11.000,,236.0,236.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +615,pivottablejs,nicolaskruchten/jupyter_pivottablejs,data-viz,,https://github.com/nicolaskruchten/jupyter_pivottablejs,https://github.com/nicolaskruchten/jupyter_pivottablejs,MIT,2015-09-09 13:39:18.000,2023-12-06 04:45:55.894000,2018-12-04 14:43:25,32.0,,80.0,21.0,8.0,23.0,41.0,631.0,"Dragndrop Pivot Tables and Charts for Jupyter/IPython Notebook, care of PivotTable.js.",3.0,23,False,2018-01-15 18:14:37.000,0.9.0,10.0,pivottablejs,anaconda/pivottablejs,,,['jupyter'],407.0,386.0,https://pypi.org/project/pivottablejs,2018-01-15 18:14:37.000,21.0,22285.0,22315.0,https://anaconda.org/anaconda/pivottablejs,2023-12-06 04:45:55.894,2822.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +616,random-forest-importances,parrt/random-forest-importances,interpretability,,https://github.com/parrt/random-forest-importances,https://github.com/parrt/random-forest-importances,MIT,2018-03-22 19:20:13.000,2023-11-18 04:12:38.000000,2021-01-30 21:50:02,249.0,,130.0,23.0,19.0,8.0,29.0,578.0,Code to compute permutation and drop-column importances in Python scikit-learn models.,14.0,23,False,2021-01-28 23:23:17.000,1.3.7,22.0,rfpimp,,,,['sklearn'],141.0,136.0,https://pypi.org/project/rfpimp,2021-01-28 23:19:33.000,5.0,24015.0,24015.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +617,happy-transformer,EricFillion/happy-transformer,nlp,,https://github.com/EricFillion/happy-transformer,https://github.com/EricFillion/happy-transformer,Apache-2.0,2019-10-06 22:02:12.000,2023-08-10 03:20:53.000000,2023-08-10 03:20:53,1214.0,,62.0,7.0,206.0,18.0,109.0,480.0,Happy Transformer makes it easy to fine-tune and perform inference with NLP Transformer models.,14.0,23,True,2023-08-07 03:02:27.000,3.0.0,40.0,happytransformer,,,,['huggingface'],216.0,211.0,https://pypi.org/project/happytransformer,2023-08-05 22:54:02.000,5.0,2955.0,2955.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +618,Hyperactive,SimonBlanke/Hyperactive,hyperopt,,https://github.com/SimonBlanke/Hyperactive,https://github.com/SimonBlanke/Hyperactive,MIT,2018-11-01 08:53:30.000,2023-11-01 17:47:11.000000,2023-11-01 17:47:00,2273.0,17.0,41.0,11.0,11.0,9.0,52.0,474.0,An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.,7.0,23,True,2023-11-01 10:40:28.000,4.6.0,75.0,hyperactive,,,,,26.0,21.0,https://pypi.org/project/hyperactive,2023-10-24 14:03:36.000,5.0,3884.0,3886.0,,,,,,,,3.0,130.0,,,,,,,,,,,,,,,,,,, +619,miceforest,AnotherSamWilson/miceforest,tabular,,https://github.com/AnotherSamWilson/miceforest,https://github.com/AnotherSamWilson/miceforest,MIT,2020-08-22 00:00:22.000,2023-11-16 02:24:03.000000,2023-11-16 02:17:17,251.0,6.0,27.0,8.0,4.0,21.0,59.0,270.0,Multiple Imputation with LightGBM in Python.,6.0,23,False,2023-11-16 02:24:03.000,5.7.0,45.0,miceforest,conda-forge/miceforest,,,,116.0,111.0,https://pypi.org/project/miceforest,2023-11-16 02:24:03.000,5.0,27032.0,27427.0,https://anaconda.org/conda-forge/miceforest,2023-06-16 19:26:58.237,11479.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +620,DeepSpeech,mozilla/DeepSpeech,audio,,https://github.com/mozilla/DeepSpeech,https://github.com/mozilla/DeepSpeech,MPL-2.0,2016-06-02 15:04:53.000,2023-07-20 13:12:55.000000,,,,3827.0,,,132.0,,22928.0,"DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices..",142.0,22,True,2020-12-10 17:22:09.000,0.9.3,100.0,deepspeech,conda-forge/deepspeech,,,['tensorflow'],43.0,,https://pypi.org/project/deepspeech,2020-12-19 10:05:12.000,43.0,3328.0,3411.0,https://anaconda.org/conda-forge/deepspeech,2023-06-16 19:27:01.157,2425.0,,,,,3.0,,-12.0,,,,,,,,,,,,,,,,,, +621,DE⫶TR,facebookresearch/detr,image,,https://github.com/facebookresearch/detr,https://github.com/facebookresearch/detr,Apache-2.0,2020-05-26 23:54:52.000,2023-10-26 13:08:14.000000,2023-02-07 10:12:31,47.0,,2141.0,149.0,87.0,240.0,284.0,12184.0,End-to-End Object Detection with Transformers.,26.0,22,True,2020-06-29 16:41:01.000,0.2,1.0,,,,,['pytorch'],21.0,21.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +622,prettymaps,marceloprates/prettymaps,geospatial-data,,https://github.com/marceloprates/prettymaps,https://github.com/marceloprates/prettymaps,AGPL-3.0,2021-03-05 12:22:05.000,2023-11-05 11:43:31.000000,2023-02-15 20:15:59,196.0,,487.0,83.0,37.0,51.0,26.0,10562.0,"A small set of Python functions to draw pretty maps from OpenStreetMap data. Based on osmnx, matplotlib and shapely..",15.0,22,False,2023-02-15 20:19:00.626,1.0.0,12.0,prettymaps,conda-forge/prettymaps,,,,39.0,39.0,https://pypi.org/project/prettymaps,2021-10-19 13:33:43.000,,835.0,931.0,https://anaconda.org/conda-forge/prettymaps,2023-06-18 08:40:31.986,2220.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +623,nebullvm,nebuly-ai/nebullvm,model-serialisation,,https://github.com/nebuly-ai/nebuly,https://github.com/nebuly-ai/nebuly,Apache-2.0,2022-02-12 17:17:14.000,2023-10-28 10:19:07.000000,2023-10-28 10:19:07,763.0,8.0,650.0,96.0,150.0,98.0,103.0,8327.0,The user analytics platform for LLMs.,40.0,22,True,2023-06-18 11:03:00.511,0.10.0,26.0,nebullvm,,,,,2.0,,https://pypi.org/project/nebullvm,2023-06-18 11:03:00.511,2.0,511.0,511.0,,,,,,,,3.0,,,,nebuly-ai/nebuly,,,,,,,,,,,,,,,, +624,cortex,cortexlabs/cortex,model-serialisation,,https://github.com/cortexlabs/cortex,https://github.com/cortexlabs/cortex,Apache-2.0,2019-01-24 04:43:14.000,2023-06-16 18:03:39.000000,2023-03-04 05:19:44,2327.0,,606.0,146.0,1362.0,118.0,986.0,7962.0,Production infrastructure for machine learning at scale.,25.0,22,True,2022-09-23 18:01:31.000,0.42.1,63.0,cortex,,,,,1.0,,https://pypi.org/project/cortex,2022-09-23 17:40:01.770,1.0,952.0,952.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +625,Dejavu,worldveil/dejavu,audio,,https://github.com/worldveil/dejavu,https://github.com/worldveil/dejavu,MIT,2013-11-19 02:50:35.000,2023-08-23 18:39:43.000000,2020-06-03 05:58:03,146.0,,1379.0,263.0,68.0,115.0,135.0,6179.0,Audio fingerprinting and recognition in Python.,23.0,22,False,2015-04-19 21:20:16.000,0.1.3,4.0,PyDejavu,,,,,24.0,21.0,https://pypi.org/project/PyDejavu,2015-04-19 21:20:16.000,3.0,94.0,94.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +626,graph-nets,deepmind/graph_nets,graph,,https://github.com/google-deepmind/graph_nets,https://github.com/google-deepmind/graph_nets,Apache-2.0,2018-08-31 08:19:28.000,2022-12-12 11:28:07.000000,2022-12-12 11:28:07,48.0,,779.0,224.0,25.0,7.0,122.0,5303.0,Build Graph Nets in Tensorflow.,11.0,22,True,2020-01-29 16:00:25.000,1.1.0,7.0,graph-nets,,,,['tensorflow'],28.0,20.0,https://pypi.org/project/graph-nets,2020-01-29 16:00:25.000,8.0,2186.0,2186.0,,,,,,,,3.0,,,,google-deepmind/graph_nets,,,,,,,,,,,,,,,, +627,DeepMatcher,anhaidgroup/deepmatcher,nlp,,https://github.com/anhaidgroup/deepmatcher,https://github.com/anhaidgroup/deepmatcher,BSD-3-Clause,2017-12-01 19:01:11.000,2023-05-02 04:54:25.000000,2021-06-13 00:22:13,176.0,,1707.0,19.0,17.0,70.0,24.0,4852.0,Python package for performing Entity and Text Matching using Deep Learning.,7.0,22,False,2021-05-27 22:28:29.000,0.1.2,13.0,deepmatcher,,,,,25.0,25.0,https://pypi.org/project/deepmatcher,2021-06-13 01:13:24.000,,2556.0,2556.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +628,mace,XiaoMi/mace,ml-frameworks,,https://github.com/XiaoMi/mace,https://github.com/XiaoMi/mace,Apache-2.0,2018-06-27 03:50:12.000,2023-04-10 13:46:12.000000,2022-05-30 07:32:06,3344.0,,820.0,233.0,109.0,57.0,620.0,4835.0,MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.,69.0,22,False,2022-01-13 09:55:14.000,1.1.1,12.0,,,,,,,,,,,,23.0,,,,,,,,3.0,1501.0,,,,,,,,,,,,,,,,,,, +629,deep-daze,lucidrains/deep-daze,image,,https://github.com/lucidrains/deep-daze,https://github.com/lucidrains/deep-daze,MIT,2021-01-17 06:00:50.000,2022-03-13 19:09:50.000000,2022-03-13 19:08:59,231.0,,323.0,75.0,37.0,95.0,74.0,4384.0,Simple command line tool for text to image generation using OpenAIs CLIP and Siren (Implicit neural representation..,14.0,22,False,2022-03-13 19:09:50.000,0.11.1,67.0,deep-daze,,,,,51.0,51.0,https://pypi.org/project/deep-daze,2022-03-13 19:09:50.000,,856.0,856.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +630,Backtesting.py,kernc/backtesting.py,financial-data,,https://github.com/kernc/backtesting.py,https://github.com/kernc/backtesting.py,AGPL-3.0,2019-01-02 03:11:32.000,2023-11-16 14:13:37.000000,2023-01-15 11:37:16,279.0,,831.0,107.0,92.0,112.0,349.0,4317.0,Backtest trading strategies in Python.,19.0,22,False,2021-12-13 01:36:44.000,0.3.3,21.0,backtesting,,,,,2.0,,https://pypi.org/project/backtesting,2021-12-13 01:36:44.000,2.0,11228.0,11228.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +631,neon,NervanaSystems/neon,ml-frameworks,,https://github.com/NervanaSystems/neon,https://github.com/NervanaSystems/neon,Apache-2.0,2014-10-16 01:00:17.000,2023-06-16 13:24:50.216000,2019-05-22 18:27:54,1118.0,,824.0,330.0,89.0,91.0,306.0,3865.0,Intel Nervana reference deep learning framework committed to best performance on all hardware.,108.0,22,False,2018-01-05 23:25:04.000,2.6.0,32.0,nervananeon,anaconda/neon,,,,1.0,,https://pypi.org/project/nervananeon,2018-01-05 23:25:04.000,1.0,102.0,126.0,https://anaconda.org/anaconda/neon,2023-06-16 13:24:50.216,1865.0,,,,,3.0,374.0,,,,,,,,,,,,,,,,,,, +632,gpt-2-simple,minimaxir/gpt-2-simple,nlp,,https://github.com/minimaxir/gpt-2-simple,https://github.com/minimaxir/gpt-2-simple,MIT,2019-04-13 20:00:52.000,2022-12-14 11:50:45.000000,2022-05-22 02:02:04,149.0,,654.0,77.0,53.0,176.0,101.0,3349.0,Python package to easily retrain OpenAIs GPT-2 text-generating model on new texts.,21.0,22,False,2021-10-18 02:38:39.000,0.8.1,18.0,gpt-2-simple,,,,['tensorflow'],7.0,,https://pypi.org/project/gpt-2-simple,2021-10-18 01:47:20.000,7.0,3540.0,3549.0,,,,,,,,3.0,537.0,,,,,,,,,,,,,,,,,,, +633,vissl,facebookresearch/vissl,image,,https://github.com/facebookresearch/vissl,https://github.com/facebookresearch/vissl,MIT,2020-04-09 19:40:33.000,2023-10-20 18:29:52.000000,2023-10-20 18:18:37,406.0,1.0,319.0,55.0,413.0,79.0,106.0,3160.0,"VISSL is FAIRs library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.",37.0,22,True,2021-11-02 17:21:02.000,0.1.6,6.0,vissl,,,,['pytorch'],31.0,30.0,https://pypi.org/project/vissl,2021-11-02 15:36:07.000,1.0,152.0,152.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +634,TRFL,deepmind/trfl,reinforcement-learning,,https://github.com/google-deepmind/trfl,https://github.com/google-deepmind/trfl,Apache-2.0,2018-08-08 14:44:11.000,2022-12-08 18:07:05.000000,2021-08-16 11:45:18,123.0,,378.0,208.0,9.0,6.0,16.0,3140.0,TensorFlow Reinforcement Learning.,13.0,22,False,2021-08-16 12:19:16.000,1.2.0,5.0,trfl,,,,['tensorflow'],138.0,135.0,https://pypi.org/project/trfl,2021-08-16 12:19:16.000,3.0,1345.0,1345.0,,,,,,,,3.0,,,,google-deepmind/trfl,,,,,,,,,,,,,,,, +635,opyrator,ml-tooling/opyrator,others,,https://github.com/ml-tooling/opyrator,https://github.com/ml-tooling/opyrator,MIT,2021-04-06 08:09:06.000,2023-11-28 21:11:34.000000,2021-05-06 12:10:38,127.0,,154.0,50.0,55.0,2.0,30.0,2968.0,"Turns your machine learning code into microservices with web API, interactive GUI, and more.",4.0,22,False,2021-05-04 18:48:03.000,0.0.12,11.0,opyrator,conda-forge/opyrator,,,,46.0,46.0,https://pypi.org/project/opyrator,2021-05-04 18:48:03.000,,110.0,170.0,https://anaconda.org/conda-forge/opyrator,2023-06-18 08:40:31.958,1381.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +636,Texar,asyml/texar,nlp,,https://github.com/asyml/texar,https://github.com/asyml/texar,Apache-2.0,2017-07-22 19:02:05.000,2021-08-26 09:49:50.000000,2020-07-29 00:38:30,1719.0,,381.0,80.0,144.0,36.0,126.0,2369.0,"Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the..",43.0,22,False,2019-11-19 04:11:18.000,0.2.4,6.0,texar,,,,['tensorflow'],29.0,27.0,https://pypi.org/project/texar,2019-11-19 04:11:18.000,2.0,66.0,66.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +637,fast-bert,utterworks/fast-bert,nlp,,https://github.com/utterworks/fast-bert,https://github.com/utterworks/fast-bert,Apache-2.0,2019-04-18 22:01:20.000,2023-07-27 13:04:26.000000,2023-07-27 13:04:12,336.0,,337.0,42.0,68.0,159.0,95.0,1830.0,Super easy library for BERT based NLP models.,36.0,22,True,2023-07-27 13:04:26.000,2.0.17,66.0,fast-bert,,,,,2.0,,https://pypi.org/project/fast-bert,2023-07-27 13:04:26.000,2.0,1530.0,1530.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +638,Orbit,uber/orbit,probabilistics,,https://github.com/uber/orbit,https://github.com/uber/orbit,Apache-2.0,2020-01-07 18:20:37.000,2023-09-26 02:48:51.000000,2023-09-26 02:48:50,872.0,1.0,128.0,33.0,407.0,65.0,326.0,1757.0,A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.,18.0,22,True,2023-01-29 22:05:17.000,1.1.4.2,23.0,orbit-ml,,,,,43.0,42.0,https://pypi.org/project/orbit-ml,2023-01-29 22:06:26.764,1.0,28930.0,28930.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +639,uber/orbit,uber/orbit,time-series-data,,https://github.com/uber/orbit,https://github.com/uber/orbit,Apache-2.0,2020-01-07 18:20:37.000,2023-09-26 02:48:51.000000,2023-09-26 02:48:50,872.0,1.0,128.0,33.0,407.0,65.0,326.0,1757.0,A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.,18.0,22,True,2023-01-29 22:05:17.000,1.1.4.2,23.0,orbit-ml,conda-forge/orbit-ml,,,,43.0,42.0,https://pypi.org/project/orbit-ml,2023-01-29 22:06:26.764,1.0,28930.0,29130.0,https://anaconda.org/conda-forge/orbit-ml,2023-06-18 08:40:35.691,4602.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +640,hiddenlayer,waleedka/hiddenlayer,ml-experiments,,https://github.com/waleedka/hiddenlayer,https://github.com/waleedka/hiddenlayer,MIT,2018-05-18 22:34:51.000,2023-04-08 10:04:48.000000,2020-04-24 06:58:09,58.0,,255.0,44.0,13.0,57.0,35.0,1745.0,"Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.",6.0,22,False,2018-12-03 04:33:29.000,0.2,3.0,hiddenlayer,,,,"['pytorch', 'tensorflow', 'jupyter']",247.0,236.0,https://pypi.org/project/hiddenlayer,2020-04-24 07:32:11.000,11.0,1850.0,1850.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +641,DIG,divelab/DIG,graph,,https://github.com/divelab/DIG,https://github.com/divelab/DIG,GPL-3.0,2020-10-30 03:51:15.000,2023-10-25 22:04:21.000000,2023-10-25 22:04:21,1073.0,4.0,254.0,33.0,36.0,25.0,168.0,1668.0,A library for graph deep learning research.,49.0,22,False,2023-04-07 20:33:15.000,1.1.0,10.0,dig,,,,,8.0,,https://pypi.org/project/dig,2015-08-23 10:30:20.000,8.0,470.0,470.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +642,auto_ml,ClimbsRocks/auto_ml,hyperopt,,https://github.com/ClimbsRocks/auto_ml,https://github.com/ClimbsRocks/auto_ml,MIT,2016-08-07 21:35:08.000,2021-02-10 07:52:35.000000,2018-03-25 19:46:25,1149.0,,311.0,98.0,45.0,187.0,216.0,1629.0,[UNMAINTAINED] Automated machine learning for analytics & production.,13.0,22,False,2018-02-22 01:13:03.000,2.9.10,78.0,auto_ml,,,,,9.0,2.0,https://pypi.org/project/auto_ml,2018-02-22 01:13:03.000,7.0,983.0,983.0,,,,,,,,3.0,42.0,,,,,,,,,,,,,,,,,,, +643,jiant,nyu-mll/jiant,nlp,,https://github.com/nyu-mll/jiant,https://github.com/nyu-mll/jiant,MIT,2018-06-18 18:12:47.000,2023-07-06 22:00:38.000000,2022-10-17 19:34:56,1930.0,,290.0,46.0,801.0,70.0,485.0,1571.0,jiant is an nlp toolkit.,60.0,22,False,2021-05-10 18:56:39.000,2.2.0,19.0,jiant,,,,,3.0,3.0,https://pypi.org/project/jiant,2021-05-10 18:56:39.000,,74.0,74.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +644,Pytorch Toolbelt,BloodAxe/pytorch-toolbelt,pytorch-utils,,https://github.com/BloodAxe/pytorch-toolbelt,https://github.com/BloodAxe/pytorch-toolbelt,MIT,2019-03-15 16:02:49.000,2023-11-03 15:04:58.000000,2023-11-03 16:06:14,1169.0,2.0,118.0,29.0,68.0,1.0,29.0,1449.0,PyTorch extensions for fast R&D prototyping and Kaggle farming.,7.0,22,True,2023-08-19 14:26:10.000,0.7.0,29.0,pytorch_toolbelt,,,,['pytorch'],7.0,,https://pypi.org/project/pytorch_toolbelt,2022-06-27 19:59:57.000,7.0,7473.0,7473.0,,,,,,,,3.0,7.0,,,,,,,,,,,,,,,,,,, +645,Vulkan Kompute,KomputeProject/kompute,gpu-utilities,,https://github.com/KomputeProject/kompute,https://github.com/KomputeProject/kompute,Apache-2.0,2020-07-29 05:23:33.000,2023-11-29 18:30:27.000000,2023-11-29 05:50:04,1211.0,19.0,96.0,31.0,146.0,64.0,130.0,1305.0,"General purpose GPU compute framework built on Vulkan to support 1000s of cross vendor graphics cards (AMD, Qualcomm,..",23.0,22,True,2022-04-13 10:24:33.000,0.8.1,13.0,kp,,,,,8.0,8.0,https://pypi.org/project/kp,2022-04-13 10:22:18.000,,121.0,133.0,,,,,,,,3.0,483.0,,,,,,,,,,,,,,,,,,, +646,advertorch,BorealisAI/advertorch,adversarial,,https://github.com/BorealisAI/advertorch,https://github.com/BorealisAI/advertorch,GPL-3.0,2018-11-29 22:17:33.000,2023-09-14 02:51:02.000000,2022-05-29 19:09:18,309.0,,188.0,27.0,57.0,21.0,36.0,1226.0,A Toolbox for Adversarial Robustness Research.,21.0,22,False,2020-06-15 01:20:07.000,0.2.3,10.0,advertorch,,,,['pytorch'],148.0,143.0,https://pypi.org/project/advertorch,2020-06-15 01:20:07.000,5.0,642.0,642.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +647,NGT,yahoojapan/NGT,nn-search,,https://github.com/yahoojapan/NGT,https://github.com/yahoojapan/NGT,Apache-2.0,2016-09-01 07:36:57.000,2023-12-06 23:24:36.000000,2023-12-06 23:22:36,184.0,3.0,108.0,37.0,25.0,17.0,112.0,1141.0,Nearest Neighbor Search with Neighborhood Graph and Tree for High-dimensional Data.,14.0,22,True,2023-12-06 23:27:18.000,2.1.6,79.0,ngt,,,,,8.0,,https://pypi.org/project/ngt,2023-12-06 05:33:15.000,8.0,6039.0,6039.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +648,PFRL,pfnet/pfrl,reinforcement-learning,,https://github.com/pfnet/pfrl,https://github.com/pfnet/pfrl,MIT,2020-06-24 09:31:50.000,2023-07-16 15:34:00.704000,2023-07-16 15:16:10,420.0,,145.0,97.0,117.0,33.0,45.0,1107.0,PFRL: a PyTorch-based deep reinforcement learning library.,19.0,22,True,2023-07-16 15:34:00.704,0.4.0,6.0,pfrl,,,,,96.0,95.0,https://pypi.org/project/pfrl,2023-07-16 15:34:00.704,1.0,537.0,537.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +649,tf-explain,sicara/tf-explain,interpretability,,https://github.com/sicara/tf-explain,https://github.com/sicara/tf-explain,MIT,2019-07-15 08:26:24.000,2022-06-30 08:14:18.000000,2022-06-30 08:14:18,208.0,,108.0,50.0,98.0,41.0,51.0,1000.0,Interpretability Methods for tf.keras models with Tensorflow 2.x.,18.0,22,False,2021-11-18 20:57:29.000,0.3.1,8.0,tf-explain,,,,['tensorflow'],212.0,204.0,https://pypi.org/project/tf-explain,2021-11-18 20:57:29.000,8.0,2314.0,2314.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +650,AstroML,astroML/astroML,others,,https://github.com/astroML/astroML,https://github.com/astroML/astroML,BSD-2-Clause,2012-10-17 22:33:50.000,2023-06-16 13:21:24.079000,2022-12-12 08:52:31,580.0,,288.0,95.0,120.0,62.0,95.0,967.0,"Machine learning, statistics, and data mining for astronomy and astrophysics.",30.0,22,True,2022-01-25 21:56:31.000,1.0.2,13.0,astroML,conda-forge/astroml,,,['sklearn'],36.0,,https://pypi.org/project/astroML,2022-03-01 20:02:01.000,36.0,929.0,1477.0,https://anaconda.org/conda-forge/astroml,2023-06-16 13:21:24.079,41693.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +651,YouTokenToMe,vkcom/youtokentome,nlp,,https://github.com/VKCOM/YouTokenToMe,https://github.com/VKCOM/YouTokenToMe,MIT,2019-06-06 11:38:28.000,2023-09-27 19:23:04.851000,2023-03-29 07:39:45,85.0,,79.0,26.0,53.0,36.0,27.0,923.0,Unsupervised text tokenizer focused on computational efficiency.,8.0,22,True,2020-02-13 09:57:47.000,1.0.6,14.0,youtokentome,conda-forge/youtokentome,,,,593.0,570.0,https://pypi.org/project/youtokentome,2020-02-12 18:24:46.000,23.0,40357.0,41809.0,https://anaconda.org/conda-forge/youtokentome,2023-09-27 19:23:04.851,39216.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +652,What-If Tool,PAIR-code/what-if-tool,interpretability,,https://github.com/PAIR-code/what-if-tool,https://github.com/PAIR-code/what-if-tool,Apache-2.0,2018-09-07 20:26:10.000,2023-10-11 00:13:45.000000,2023-04-27 23:44:02,329.0,,156.0,29.0,108.0,80.0,56.0,857.0,Source code/webpage/demos for the What-If Tool.,20.0,22,True,2021-10-12 17:42:50.869,1.8.1,40.0,witwidget,conda-forge/tensorboard-plugin-wit,,,,5.0,,https://pypi.org/project/witwidget,2021-10-12 17:42:30.000,4.0,4856.0,55904.0,https://anaconda.org/conda-forge/tensorboard-plugin-wit,2023-06-16 19:20:28.498,2105430.0,,,,,3.0,,,,,wit-widget,https://www.npmjs.com/package/wit-widget,2021-10-12 17:42:50.869,1.0,919.0,,,,,,,,,,, +653,Guild AI,guildai/guildai,ml-experiments,,https://github.com/guildai/guildai,https://github.com/guildai/guildai,Apache-2.0,2017-09-27 18:57:50.000,2023-08-14 08:41:19.000000,2023-08-12 20:19:05,5777.0,,81.0,14.0,77.0,218.0,218.0,835.0,"Experiment tracking, ML developer tools.",29.0,22,True,2023-02-25 17:16:57.621,0.9.0,186.0,guildai,,,,,86.0,86.0,https://pypi.org/project/guildai,2022-05-11 01:13:31.000,,978.0,978.0,,,,,,,,3.0,14.0,,,,,,,,,,,,,,,,,,, +654,iterative-stratification,trent-b/iterative-stratification,sklearn-utils,,https://github.com/trent-b/iterative-stratification,https://github.com/trent-b/iterative-stratification,BSD-3-Clause,2018-02-04 00:32:10.000,2022-06-06 22:38:33.000000,2022-06-06 22:38:33,57.0,,73.0,6.0,5.0,4.0,23.0,804.0,scikit-learn cross validators for iterative stratification of multilabel data.,7.0,22,False,2021-10-03 18:49:49.000,0.1.7,6.0,iterative-stratification,,,,['sklearn'],394.0,382.0,https://pypi.org/project/iterative-stratification,2021-10-03 18:49:49.000,12.0,66402.0,66402.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +655,Test Tube,williamFalcon/test-tube,hyperopt,,https://github.com/williamFalcon/test-tube,https://github.com/williamFalcon/test-tube,MIT,2017-09-06 02:14:57.000,2022-07-22 06:10:37.000000,2020-03-17 22:44:47,642.0,,74.0,26.0,37.0,25.0,21.0,734.0,Python library to easily log experiments and parallelize hyperparameter search for neural networks.,16.0,22,False,2019-12-01 01:19:50.000,0.7.5,64.0,test_tube,,,,,26.0,,https://pypi.org/project/test_tube,2019-12-01 01:19:50.000,26.0,88687.0,88687.0,,,,,,,,3.0,18.0,,,,,,,,,,,,,,,,,,, +656,TreeInterpreter,andosa/treeinterpreter,interpretability,,https://github.com/andosa/treeinterpreter,https://github.com/andosa/treeinterpreter,BSD-3-Clause,2015-08-02 20:26:21.000,2023-07-18 10:50:27.000000,2021-02-28 18:33:06,37.0,,144.0,25.0,19.0,26.0,5.0,729.0,Package for interpreting scikit-learns decision tree and random forest predictions.,11.0,22,False,2021-01-10 20:12:39.000,0.2.3,5.0,treeinterpreter,conda-forge/treeinterpreter,,,['sklearn'],588.0,574.0,https://pypi.org/project/treeinterpreter,2021-01-10 20:12:39.000,14.0,89854.0,90012.0,https://anaconda.org/conda-forge/treeinterpreter,2023-06-16 19:22:55.011,6005.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +657,finetune,IndicoDataSolutions/finetune,nlp,,https://github.com/IndicoDataSolutions/finetune,https://github.com/IndicoDataSolutions/finetune,MPL-2.0,2018-06-12 17:02:16.000,2023-10-17 14:50:13.000000,2023-10-17 14:50:08,1502.0,4.0,78.0,36.0,644.0,22.0,118.0,693.0,Scikit-learn style model finetuning for NLP.,21.0,22,True,2023-09-29 10:19:51.000,0.10.0,39.0,finetune,,,,"['tensorflow', 'sklearn']",13.0,11.0,https://pypi.org/project/finetune,2023-09-29 10:19:51.000,2.0,143.0,143.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +658,vecstack,vecxoz/vecstack,others,,https://github.com/vecxoz/vecstack,https://github.com/vecxoz/vecstack,MIT,2016-11-08 13:23:21.000,2023-06-16 19:26:00.374000,2019-10-30 09:27:48,189.0,,81.0,21.0,12.0,,38.0,679.0,Python package for stacking (machine learning technique).,1.0,22,False,2019-08-12 16:09:01.000,0.4.0,6.0,vecstack,conda-forge/vecstack,,,,368.0,362.0,https://pypi.org/project/vecstack,2019-08-12 16:01:22.000,6.0,12737.0,12796.0,https://anaconda.org/conda-forge/vecstack,2023-06-16 19:26:00.374,1844.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +659,python-ternary,marcharper/python-ternary,data-viz,,https://github.com/marcharper/python-ternary,https://github.com/marcharper/python-ternary,MIT,2012-08-07 23:48:55.000,2023-09-26 00:20:33.000000,2023-09-26 00:20:33,398.0,1.0,155.0,17.0,72.0,35.0,105.0,659.0,Ternary plotting library for python with matplotlib.,27.0,22,True,2021-02-17 18:38:15.000,1.0.8,11.0,python-ternary,conda-forge/python-ternary,,,,180.0,155.0,https://pypi.org/project/python-ternary,2021-02-17 18:38:15.000,25.0,42095.0,42950.0,https://anaconda.org/conda-forge/python-ternary,2023-06-16 13:17:10.682,78677.0,,,,,3.0,25.0,,,,,,,,,,,,,,,,,,, +660,BioPandas,rasbt/biopandas,others,,https://github.com/BioPandas/biopandas,https://github.com/BioPandas/biopandas,BSD-3-Clause,2015-11-21 00:00:14.000,2023-09-19 18:44:18.000000,2023-09-19 18:44:18,355.0,1.0,118.0,19.0,78.0,23.0,33.0,654.0,Working with molecular structures in pandas DataFrames.,15.0,22,True,2023-08-28 15:31:05.000,0.5.1de,20.0,biopandas,conda-forge/biopandas,,,['pandas'],236.0,213.0,https://pypi.org/project/biopandas,2023-08-28 15:32:25.000,23.0,86138.0,87892.0,https://anaconda.org/conda-forge/biopandas,2023-06-16 13:21:19.340,147402.0,,,,,3.0,,,,BioPandas/biopandas,,,,,,,,,,,,,,,, +661,combo,yzhao062/combo,sklearn-utils,,https://github.com/yzhao062/combo,https://github.com/yzhao062/combo,BSD-2-Clause,2019-07-14 01:13:36.000,2023-01-14 04:46:24.000000,2023-01-14 04:46:24,210.0,,105.0,30.0,1.0,13.0,3.0,630.0,(AAAI 20) A Python Toolbox for Machine Learning Model Combination.,2.0,22,True,2022-04-02 16:20:07.000,0.1.3,13.0,combo,,,,"['sklearn', 'xgboost']",600.0,592.0,https://pypi.org/project/combo,2022-04-02 16:20:07.000,8.0,93773.0,93773.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +662,Merlin,NVIDIA-Merlin/Merlin,gpu-utilities,,https://github.com/NVIDIA-Merlin/Merlin,https://github.com/NVIDIA-Merlin/Merlin,Apache-2.0,2021-03-30 23:35:26.000,2023-11-26 01:04:22.000000,2023-11-23 05:37:16,487.0,12.0,94.0,31.0,550.0,197.0,243.0,630.0,"NVIDIA Merlin is an open source library providing end-to-end GPU-accelerated recommender systems, from feature..",32.0,22,True,2023-09-26 13:51:42.000,23.09.00,16.0,merlin-core,,,,,1.0,,https://pypi.org/project/merlin-core,2023-08-29 16:27:32.000,1.0,4699.0,4699.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +663,HpBandSter,automl/HpBandSter,hyperopt,,https://github.com/automl/HpBandSter,https://github.com/automl/HpBandSter,BSD-3-Clause,2017-12-17 20:28:20.000,2023-06-16 19:24:00.330000,2022-04-22 06:33:31,188.0,,111.0,27.0,23.0,57.0,35.0,590.0,a distributed Hyperband implementation on Steroids.,11.0,22,False,2019-07-30 12:47:43.000,1.0,8.0,hpbandster,conda-forge/hpbandster,,,,415.0,393.0,https://pypi.org/project/hpbandster,2018-11-06 12:56:55.000,22.0,24793.0,25279.0,https://anaconda.org/conda-forge/hpbandster,2023-06-16 19:24:00.330,17520.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +664,aequitas,dssg/aequitas,interpretability,,https://github.com/dssg/aequitas,https://github.com/dssg/aequitas,MIT,2018-02-13 19:40:30.000,2023-12-06 16:56:48.000000,2023-08-20 23:36:18,861.0,,99.0,44.0,70.0,48.0,23.0,585.0,Bias and Fairness Audit Toolkit.,18.0,22,True,2020-12-16 11:48:14.000,0.42.0,16.0,aequitas,,,,,152.0,145.0,https://pypi.org/project/aequitas,2020-12-16 11:48:14.000,7.0,1329.0,1329.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +665,skope-rules,scikit-learn-contrib/skope-rules,sklearn-utils,,https://github.com/scikit-learn-contrib/skope-rules,https://github.com/scikit-learn-contrib/skope-rules,BSD-1-Clause,2018-02-18 13:42:47.000,2023-02-14 11:18:28.000000,2023-02-14 11:18:28,249.0,,87.0,26.0,31.0,28.0,6.0,565.0,machine learning with logical rules in Python.,19.0,22,False,2020-12-11 09:37:02.000,1.0.1,4.0,skope-rules,,,,['sklearn'],349.0,342.0,https://pypi.org/project/skope-rules,2020-01-25 12:01:37.000,7.0,69762.0,69762.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +666,MedPy,loli/medpy,medical-data,,https://github.com/loli/medpy,https://github.com/loli/medpy,GPL-3.0,2012-05-11 10:57:34.000,2023-12-01 16:05:25.000000,2023-12-01 16:05:25,329.0,1.0,131.0,19.0,34.0,13.0,72.0,521.0,Medical image processing in Python.,17.0,22,False,2019-02-14 17:12:59.000,0.4.0,6.0,MedPy,conda-forge/medpy,,,,1610.0,1566.0,https://pypi.org/project/MedPy,2019-02-14 17:12:59.000,44.0,17523.0,18236.0,https://anaconda.org/conda-forge/medpy,2023-11-26 21:20:01.088,21403.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +667,apricot,jmschrei/apricot,others,,https://github.com/jmschrei/apricot,https://github.com/jmschrei/apricot,MIT,2018-08-12 02:42:12.000,2023-11-17 16:30:15.000000,2021-11-18 21:06:54,172.0,,46.0,10.0,9.0,11.0,21.0,481.0,apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine..,4.0,22,False,2023-11-17 16:33:58.000,0.6.1,14.0,apricot-select,,,,,90.0,82.0,https://pypi.org/project/apricot-select,2021-02-18 06:55:02.000,8.0,4743.0,4743.0,,,,,,,,3.0,27.0,,,,,,,,,,,,,,,,,,, +668,tick,X-DataInitiative/tick,time-series-data,,https://github.com/X-DataInitiative/tick,https://github.com/X-DataInitiative/tick,BSD-3-Clause,2016-12-01 10:59:08.000,2023-12-07 13:59:00.000000,2023-03-05 00:16:57,419.0,,96.0,36.0,276.0,69.0,173.0,445.0,"Module for statistical learning, with a particular emphasis on time-dependent modelling.",19.0,22,True,2019-09-11 11:25:15.000,0.6,23.0,tick,,,,,74.0,72.0,https://pypi.org/project/tick,2020-05-24 22:01:17.000,2.0,1216.0,1219.0,,,,,,,,3.0,292.0,,,,,,,,,,,,,,,,,,, +669,Quantus,understandable-machine-intelligence-lab/quantus,interpretability,,https://github.com/understandable-machine-intelligence-lab/Quantus,https://github.com/understandable-machine-intelligence-lab/Quantus,GPL-3.0,2021-03-18 15:04:58.000,2023-12-07 10:43:00.000000,2023-12-05 11:38:02,1689.0,116.0,59.0,6.0,197.0,41.0,77.0,435.0,Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations.,19.0,22,False,2023-12-05 11:42:47.000,0.5.3,27.0,quantus,,,,,22.0,21.0,https://pypi.org/project/quantus,2023-12-05 11:42:47.000,1.0,912.0,918.0,,,,,,,,3.0,145.0,,,,,,,,,,,,,,,,,,, +670,optunity,claesenm/optunity,hyperopt,,https://github.com/claesenm/optunity,https://github.com/claesenm/optunity,BSD-3-Clause,2014-05-28 17:29:11.000,2023-11-25 01:31:29.000000,2020-05-11 14:32:38,782.0,,79.0,24.0,12.0,48.0,49.0,411.0,optimization routines for hyperparameter tuning.,9.0,22,False,2015-09-30 05:02:00.000,1.1.1,6.0,optunity,,,,,120.0,106.0,https://pypi.org/project/optunity,2015-09-30 05:02:00.000,14.0,4882.0,4882.0,,,,,,,,3.0,87.0,,,,,,,,,,,,,,,,,,, +671,lightwood,mindsdb/lightwood,hyperopt,,https://github.com/mindsdb/lightwood,https://github.com/mindsdb/lightwood,GPL-3.0,2019-05-20 21:31:14.000,2023-10-30 18:32:50.000000,2023-10-30 18:24:00,5579.0,29.0,89.0,15.0,734.0,29.0,425.0,387.0,Lightwood is Legos for Machine Learning.,42.0,22,False,2023-08-07 15:55:40.000,23.8.1.0,201.0,lightwood,,,,['pytorch'],2.0,,https://pypi.org/project/lightwood,2023-10-26 23:00:08.000,2.0,9080.0,9080.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +672,py3nvml,fbcotter/py3nvml,gpu-utilities,,https://github.com/fbcotter/py3nvml,https://github.com/fbcotter/py3nvml,BSD-3-Clause,2016-11-21 01:07:37.000,2023-09-25 06:14:21.168000,2022-04-14 09:41:50,86.0,,33.0,13.0,9.0,4.0,12.0,226.0,Python 3 Bindings for NVML library. Get NVIDIA GPU status inside your program.,9.0,22,False,2021-11-22 14:30:25.000,0.2.7,14.0,py3nvml,conda-forge/py3nvml,,,,969.0,923.0,https://pypi.org/project/py3nvml,2021-11-22 14:30:25.000,46.0,92152.0,93597.0,https://anaconda.org/conda-forge/py3nvml,2023-09-25 06:14:21.168,54937.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +673,stop-words,Alir3z4/python-stop-words,nlp,,https://github.com/Alir3z4/python-stop-words,https://github.com/Alir3z4/python-stop-words,BSD-3-Clause,2014-05-26 06:44:03.000,2021-12-28 13:59:30.000000,2018-07-23 21:04:09,90.0,,26.0,7.0,18.0,3.0,9.0,153.0,Get list of common stop words in various languages in Python.,8.0,22,False,2018-07-23 20:58:34.000,2018.7.23,8.0,stop-words,,,,,2200.0,2046.0,https://pypi.org/project/stop-words,2018-07-23 20:55:55.000,154.0,117730.0,117730.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +674,tf-quant-finance,google/tf-quant-finance,financial-data,,https://github.com/google/tf-quant-finance,https://github.com/google/tf-quant-finance,Apache-2.0,2019-07-24 16:09:50.000,2023-10-06 13:06:28.000000,2023-08-15 07:38:22,956.0,,542.0,168.0,45.0,37.0,28.0,4131.0,High-performance TensorFlow library for quantitative finance.,47.0,21,True,,,30.0,tf-quant-finance,,,,['tensorflow'],2.0,,https://pypi.org/project/tf-quant-finance,2022-08-19 12:40:54.257,2.0,565.0,565.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +675,BytePS,bytedance/byteps,distributed-ml,,https://github.com/bytedance/byteps,https://github.com/bytedance/byteps,Apache-2.0,2019-06-25 07:00:13.000,2023-10-03 18:02:27.000000,2022-02-10 07:36:23,432.0,,475.0,87.0,180.0,108.0,161.0,3525.0,A high performance and generic framework for distributed DNN training.,21.0,21,False,2020-08-27 15:42:13.000,0.2.4,8.0,byteps,,bytepsimage/tensorflow,,,,,https://pypi.org/project/byteps,2021-08-02 17:37:42.000,,82.0,106.0,,,,https://hub.docker.com/r/bytepsimage/tensorflow,2020-03-03 02:33:23.358610,,1319.0,3.0,,,,,,,,,,,,,,,,,,,, +676,finmarketpy,cuemacro/finmarketpy,financial-data,,https://github.com/cuemacro/finmarketpy,https://github.com/cuemacro/finmarketpy,Apache-2.0,2015-02-19 23:32:03.000,2023-04-26 19:35:05.000000,2023-04-26 19:32:49,683.0,,482.0,216.0,16.0,24.0,4.0,3247.0,Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians).,14.0,21,True,2023-04-26 19:36:36.846,0.11.12,13.0,finmarketpy,,,,,11.0,11.0,https://pypi.org/project/finmarketpy,2021-10-07 14:58:03.000,,188.0,188.0,,,,,,,,3.0,49.0,,,,,,,,,,,,,,,,,,, +677,NLP Architect,IntelLabs/nlp-architect,nlp,,https://github.com/IntelLabs/nlp-architect,https://github.com/IntelLabs/nlp-architect,Apache-2.0,2018-05-17 21:00:13.000,2022-11-07 16:21:47.000000,2022-11-07 16:21:47,957.0,,454.0,166.0,120.0,22.0,112.0,2923.0,A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language..,38.0,21,False,2020-11-17 12:32:37.000,0.5.5.1,13.0,nlp-architect,,,,,9.0,9.0,https://pypi.org/project/nlp-architect,2020-04-12 11:34:38.000,,263.0,263.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +678,AdaBound,Luolc/AdaBound,pytorch-utils,,https://github.com/Luolc/AdaBound,https://github.com/Luolc/AdaBound,Apache-2.0,2019-02-15 18:05:20.000,2023-07-23 10:44:20.000000,2019-03-06 17:01:45,27.0,,327.0,74.0,2.0,18.0,7.0,2898.0,An optimizer that trains as fast as Adam and as good as SGD.,2.0,21,False,2019-03-06 16:44:42.000,0.0.5,4.0,adabound,,,,['pytorch'],192.0,184.0,https://pypi.org/project/adabound,2019-02-26 04:23:45.000,8.0,1575.0,1575.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +679,StreamAlert,airbnb/streamalert,others,,https://github.com/airbnb/streamalert,https://github.com/airbnb/streamalert,Apache-2.0,2017-01-22 01:10:56.000,2023-10-23 17:15:34.000000,2022-07-20 20:54:36,1904.0,,322.0,101.0,1000.0,87.0,260.0,2818.0,"StreamAlert is a serverless, realtime data analysis framework which empowers you to ingest, analyze, and alert on data..",33.0,21,False,2021-11-04 19:07:51.000,3.5.0,28.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +680,pdftabextract,WZBSocialScienceCenter/pdftabextract,ocr,,https://github.com/WZBSocialScienceCenter/pdftabextract,https://github.com/WZBSocialScienceCenter/pdftabextract,Apache-2.0,2016-07-08 11:44:46.000,2022-06-24 09:51:22.000000,2022-06-24 09:51:22,171.0,,359.0,86.0,4.0,3.0,18.0,2126.0,A set of tools for extracting tables from PDF files helping to do data mining on (OCR-processed) scanned documents.,3.0,21,False,2018-01-09 08:00:24.000,0.3.0,5.0,pdftabextract,,,,,49.0,48.0,https://pypi.org/project/pdftabextract,2018-01-09 08:00:24.000,1.0,873.0,873.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +681,ecco,jalammar/ecco,interpretability,,https://github.com/jalammar/ecco,https://github.com/jalammar/ecco,BSD-3-Clause,2020-11-07 10:06:34.000,2023-09-01 04:00:40.000000,2023-08-10 17:09:47,309.0,,150.0,24.0,30.0,26.0,31.0,1825.0,"Explain, analyze, and visualize NLP language models. Ecco creates interactive visualizations directly in Jupyter..",11.0,21,True,2022-01-09 21:17:53.000,0.1.2,18.0,ecco,conda-forge/ecco,,,['pytorch'],29.0,28.0,https://pypi.org/project/ecco,2022-01-09 21:14:50.000,1.0,347.0,524.0,https://anaconda.org/conda-forge/ecco,2023-06-16 19:28:19.211,4246.0,,,,,3.0,69.0,,,,,,,,,,,,,,,,,,, +682,greykite,linkedin/greykite,time-series-data,,https://github.com/linkedin/greykite,https://github.com/linkedin/greykite,BSD-2-Clause,2021-04-27 17:05:53.000,2023-06-07 17:48:51.000000,2023-06-07 17:48:50,26.0,,101.0,37.0,27.0,22.0,78.0,1755.0,"A flexible, intuitive and fast forecasting library.",9.0,21,True,2023-06-07 17:56:26.462,0.5.1,10.0,greykite,,,,,25.0,25.0,https://pypi.org/project/greykite,2022-07-15 21:40:53.479,,14144.0,14144.0,,,,,,,,3.0,4.0,,,,,,,,,,,,,,,,,,, +683,graph4nlp,graph4ai/graph4nlp,graph,,https://github.com/graph4ai/graph4nlp,https://github.com/graph4ai/graph4nlp,Apache-2.0,2020-07-16 03:28:48.000,2023-02-11 12:08:00.000000,2022-11-13 04:54:45,1941.0,,195.0,30.0,423.0,11.0,163.0,1636.0,Graph4nlp is the library for the easy use of Graph Neural Networks for NLP. Welcome to visit our DLG4NLP website..,29.0,21,False,2022-01-20 18:07:32.000,0.5.5,12.0,graph4nlp,,,,['pytorch'],,,https://pypi.org/project/graph4nlp,2022-01-20 15:18:44.000,,101.0,101.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +684,Antialiased CNNs,adobe/antialiased-cnns,pytorch-utils,,https://github.com/adobe/antialiased-cnns,https://github.com/adobe/antialiased-cnns,CC BY-NC-SA 4.0,2019-05-14 20:51:25.000,2023-04-10 08:32:30.000000,2021-09-29 18:48:52,239.0,,203.0,38.0,6.0,14.0,33.0,1630.0,pip install antialiased-cnns to improve stability and accuracy.,6.0,21,False,2020-10-23 22:45:52.000,0.3,6.0,antialiased-cnns,,,,['pytorch'],51.0,45.0,https://pypi.org/project/antialiased-cnns,2020-10-23 22:42:49.000,6.0,2083.0,2083.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +685,DELTA,Delta-ML/delta,nlp,,https://github.com/Delta-ML/delta,https://github.com/Delta-ML/delta,Apache-2.0,2019-05-29 08:33:57.000,2023-10-11 20:58:29.000000,2020-12-17 06:57:15,932.0,,295.0,67.0,201.0,5.0,74.0,1565.0,DELTA is a deep learning based natural language and speech processing platform.,41.0,21,False,2020-07-16 09:31:45.000,0.3.3,4.0,delta-nlp,,zh794390558/delta,,['tensorflow'],,,https://pypi.org/project/delta-nlp,2020-03-27 04:46:19.000,,8.0,246.0,,,,https://hub.docker.com/r/zh794390558/delta,2021-08-03 14:50:00.516864,,13111.0,3.0,,,,,,,,,,,,,,,,,,,, +686,Classy Vision,facebookresearch/ClassyVision,image,,https://github.com/facebookresearch/ClassyVision,https://github.com/facebookresearch/ClassyVision,MIT,2019-09-13 22:54:44.000,2023-06-16 19:17:34.578000,2023-03-23 14:35:34,422.0,,281.0,74.0,728.0,53.0,64.0,1565.0,An end-to-end PyTorch framework for image and video classification.,77.0,21,True,2023-03-21 05:24:19.000,0.7.0,18.0,classy_vision,conda-forge/classy_vision,,,['pytorch'],4.0,,https://pypi.org/project/classy_vision,2023-03-21 05:15:00.935,4.0,577.0,972.0,https://anaconda.org/conda-forge/classy_vision,2023-06-16 19:17:34.578,18584.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +687,anaGo,Hironsan/anago,nlp,,https://github.com/Hironsan/anago,https://github.com/Hironsan/anago,MIT,2017-06-26 21:28:36.000,2022-12-07 23:44:31.000000,2021-04-01 12:34:50,298.0,,359.0,62.0,47.0,37.0,72.0,1475.0,"Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-Speech Tagging and so on.",11.0,21,False,2018-07-17 01:59:21.000,1.0.8,14.0,anago,,,,['tensorflow'],38.0,32.0,https://pypi.org/project/anago,2018-07-17 01:59:21.000,6.0,242.0,242.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +688,MLBox,AxeldeRomblay/MLBox,hyperopt,,https://github.com/AxeldeRomblay/MLBox,https://github.com/AxeldeRomblay/MLBox,BSD-1-Clause,2017-06-01 16:59:24.000,2023-08-06 18:20:04.000000,2020-08-25 09:26:27,1121.0,,271.0,67.0,51.0,23.0,75.0,1463.0,MLBox is a powerful Automated Machine Learning python library.,9.0,21,False,2020-08-25 09:32:37.000,0.8.5,21.0,mlbox,,,,,35.0,35.0,https://pypi.org/project/mlbox,2020-08-25 09:32:37.000,,328.0,328.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +689,jraph,deepmind/jraph,graph,,https://github.com/google-deepmind/jraph,https://github.com/google-deepmind/jraph,Apache-2.0,2020-11-23 10:27:12.000,2023-06-16 19:27:46.249000,2022-08-31 13:13:15,103.0,,79.0,39.0,14.0,12.0,27.0,1253.0,A Graph Neural Network Library in Jax.,17.0,21,False,2022-08-12 15:24:20.000,0.0.6.de0,5.0,jraph,conda-forge/jraph,,,['jax'],127.0,116.0,https://pypi.org/project/jraph,2022-08-12 15:25:29.659,11.0,8284.0,8438.0,https://anaconda.org/conda-forge/jraph,2023-06-16 19:27:46.249,4017.0,,,,,3.0,,,,google-deepmind/jraph,,,,,,,,,,,,,,,, +690,tensorrec,jfkirk/tensorrec,recommender-systems,,https://github.com/jfkirk/tensorrec,https://github.com/jfkirk/tensorrec,Apache-2.0,2017-02-28 18:51:11.000,2023-05-22 21:34:54.000000,2020-02-04 21:10:25,334.0,,220.0,64.0,48.0,36.0,90.0,1249.0,A TensorFlow recommendation algorithm and framework in Python.,9.0,21,False,2019-04-02 00:53:47.000,0.26.2,30.0,tensorrec,,,,['tensorflow'],36.0,33.0,https://pypi.org/project/tensorrec,2019-04-02 00:53:47.000,3.0,214.0,214.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +691,Sockeye,awslabs/sockeye,nlp,,https://github.com/awslabs/sockeye,https://github.com/awslabs/sockeye,Apache-2.0,2017-06-08 07:44:30.000,2023-10-17 15:42:35.000000,2023-10-17 15:42:30,833.0,2.0,327.0,51.0,791.0,4.0,300.0,1192.0,Sequence-to-sequence framework with a focus on Neural Machine Translation based on PyTorch.,60.0,21,True,2023-03-03 07:51:00.411,3.1.34,85.0,sockeye,,,,['mxnet'],2.0,,https://pypi.org/project/sockeye,2023-03-03 07:51:00.411,2.0,469.0,469.0,,,,,,,,3.0,17.0,,,,,,,,,,,,,,,,,,, +692,luminol,linkedin/luminol,time-series-data,,https://github.com/linkedin/luminol,https://github.com/linkedin/luminol,Apache-2.0,2015-11-18 23:16:33.000,2023-05-09 00:52:44.000000,2023-05-09 00:52:44,72.0,,216.0,66.0,29.0,31.0,12.0,1132.0,Anomaly Detection and Correlation library.,9.0,21,True,2016-01-20 01:01:44.000,0.3.1,5.0,luminol,,,,,91.0,76.0,https://pypi.org/project/luminol,2017-12-11 06:04:15.000,15.0,6238.0,6238.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +693,fastFM,ibayer/fastFM,recommender-systems,,https://github.com/ibayer/fastFM,https://github.com/ibayer/fastFM,BSD-3-Clause,2014-10-27 12:25:51.000,2022-07-17 13:12:39.000000,2021-03-24 12:22:31,297.0,,208.0,28.0,61.0,54.0,60.0,1055.0,fastFM: A Library for Factorization Machines.,20.0,21,False,2017-11-23 06:59:56.000,0.2.11,10.0,fastfm,,,,,125.0,115.0,https://pypi.org/project/fastfm,2017-11-23 06:59:56.000,10.0,899.0,904.0,,,,,,,,3.0,593.0,,,,,,,,,,,,,,,,,,, +694,geoplotlib,andrea-cuttone/geoplotlib,geospatial-data,,https://github.com/andrea-cuttone/geoplotlib,https://github.com/andrea-cuttone/geoplotlib,MIT,2015-02-24 13:13:07.000,2023-06-16 19:26:09.140000,2019-05-06 07:06:50,159.0,,168.0,56.0,14.0,30.0,19.0,1009.0,python toolbox for visualizing geographical data and making maps.,8.0,21,False,2016-07-27 14:55:01.000,0.3.2,4.0,geoplotlib,conda-forge/geoplotlib,,,,177.0,165.0,https://pypi.org/project/geoplotlib,2016-07-27 14:55:01.000,12.0,1335.0,1590.0,https://anaconda.org/conda-forge/geoplotlib,2023-06-16 19:26:09.140,7929.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +695,TensorNets,taehoonlee/tensornets,tensorflow-utils,,https://github.com/taehoonlee/tensornets,https://github.com/taehoonlee/tensornets,MIT,2017-09-19 05:19:01.000,2021-01-02 06:28:10.000000,2021-01-02 06:26:24,284.0,,184.0,52.0,12.0,16.0,42.0,1009.0,High level network definitions with pre-trained weights in TensorFlow.,6.0,21,False,2020-03-31 04:38:27.000,0.4.6,12.0,tensornets,,,,['tensorflow'],77.0,73.0,https://pypi.org/project/tensornets,2020-03-31 04:35:15.000,4.0,166.0,166.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +696,attention-ocr,emedvedev/attention-ocr,ocr,,https://github.com/emedvedev/attention-ocr,https://github.com/emedvedev/attention-ocr,MIT,2017-07-21 18:35:19.000,2023-10-20 17:48:54.000000,2023-10-20 17:48:54,207.0,2.0,244.0,47.0,46.0,26.0,127.0,962.0,A Tensorflow model for text recognition (CNN + seq2seq with visual attention) available as a Python package and..,28.0,21,True,2020-10-12 06:56:40.000,0.7.6,21.0,aocr,,,,['tensorflow'],27.0,27.0,https://pypi.org/project/aocr,2019-04-19 05:28:27.000,,206.0,206.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +697,nude.py,hhatto/nude.py,image,,https://github.com/hhatto/nude.py,https://github.com/hhatto/nude.py,MIT,2013-06-09 06:55:55.000,2020-11-23 13:49:32.000000,2020-11-23 13:49:02,79.0,,133.0,36.0,16.0,8.0,3.0,921.0,Nudity detection with Python.,12.0,21,False,2020-11-23 13:49:17.000,0.5.1,10.0,nudepy,,,,,3580.0,3568.0,https://pypi.org/project/nudepy,2020-11-23 13:49:17.000,12.0,1434.0,1434.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +698,Saliency,PAIR-code/saliency,tensorflow-utils,,https://github.com/PAIR-code/saliency,https://github.com/PAIR-code/saliency,Apache-2.0,2017-06-09 22:07:35.000,2023-07-24 18:18:54.000000,2022-05-13 18:48:12,83.0,,181.0,24.0,58.0,9.0,27.0,909.0,"Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).",16.0,21,False,2022-06-14 18:11:08.000,0.2.0,11.0,saliency,,,,['tensorflow'],77.0,71.0,https://pypi.org/project/saliency,2022-06-14 18:11:08.000,6.0,3267.0,3267.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +699,deeplift,kundajelab/deeplift,interpretability,,https://github.com/kundajelab/deeplift,https://github.com/kundajelab/deeplift,MIT,2016-06-01 02:18:06.000,2022-04-28 10:04:52.000000,2021-11-11 17:50:26,553.0,,153.0,38.0,46.0,40.0,49.0,772.0,Public facing deeplift repo.,11.0,21,False,2018-07-13 21:11:52.000,0.6.6,21.0,deeplift,,,,,95.0,87.0,https://pypi.org/project/deeplift,2020-11-11 09:32:57.000,8.0,507.0,507.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +700,evojax,google/evojax,jax-utils,,https://github.com/google/evojax,https://github.com/google/evojax,Apache-2.0,2021-12-07 00:30:07.000,2023-10-03 19:59:49.000000,2023-08-29 06:49:30,294.0,,58.0,24.0,47.0,10.0,17.0,718.0,EvoJAX: Hardware-accelerated Neuroevolution.,14.0,21,True,2023-08-29 06:52:02.000,0.2.16,22.0,evojax,conda-forge/evojax,,,['jax'],18.0,16.0,https://pypi.org/project/evojax,2023-08-29 06:52:02.000,2.0,718.0,1714.0,https://anaconda.org/conda-forge/evojax,2023-08-29 10:08:55.843,21929.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +701,Neuraxle,Neuraxio/Neuraxle,hyperopt,,https://github.com/Neuraxio/Neuraxle,https://github.com/Neuraxio/Neuraxle,Apache-2.0,2019-03-26 21:01:54.000,2023-05-01 22:43:43.000000,2022-08-16 17:43:49,1877.0,,57.0,19.0,216.0,49.0,301.0,590.0,The worlds cleanest AutoML library - Do hyperparameter tuning with the right pipeline abstractions to write clean deep..,9.0,21,False,2022-08-16 19:54:29.000,0.8.1,27.0,neuraxle,,,,,57.0,56.0,https://pypi.org/project/neuraxle,2022-08-16 19:50:37.507,1.0,273.0,273.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +702,seglearn,dmbee/seglearn,time-series-data,,https://github.com/dmbee/seglearn,https://github.com/dmbee/seglearn,BSD-3-Clause,2018-03-05 20:53:59.000,2022-08-27 09:01:18.000000,2022-08-27 09:00:35,283.0,,64.0,29.0,31.0,5.0,24.0,556.0,Python module for machine learning time series:.,14.0,21,False,2022-08-27 09:04:02.113,1.2.5,24.0,seglearn,,,,,48.0,46.0,https://pypi.org/project/seglearn,2021-03-13 16:18:30.000,2.0,1113.0,1113.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +703,recmetrics,statisticianinstilettos/recmetrics,recommender-systems,,https://github.com/statisticianinstilettos/recmetrics,https://github.com/statisticianinstilettos/recmetrics,MIT,2018-10-15 15:29:49.000,2023-12-05 18:45:44.000000,2023-10-04 12:31:54,297.0,4.0,97.0,15.0,51.0,13.0,15.0,540.0,A library of metrics for evaluating recommender systems.,20.0,21,True,2022-04-26 18:03:18.000,0.1.5,20.0,recmetrics,,,,,47.0,47.0,https://pypi.org/project/recmetrics,2022-04-26 17:57:01.000,,10735.0,10735.0,,,,,,,,3.0,5.0,,,,,,,,,,,,,,,,,,, +704,deepsnap,snap-stanford/deepsnap,graph,,https://github.com/snap-stanford/deepsnap,https://github.com/snap-stanford/deepsnap,MIT,2020-06-06 21:17:38.000,2023-11-11 03:23:44.000000,2023-11-11 03:23:44,413.0,3.0,54.0,60.0,9.0,23.0,25.0,508.0,Python library assists deep learning on graphs.,18.0,21,True,2021-09-05 23:08:21.000,0.2.1,5.0,deepsnap,,,,,74.0,73.0,https://pypi.org/project/deepsnap,2021-09-05 22:57:16.000,1.0,474.0,474.0,,,,,,,,3.0,10.0,,,,,,,,,,,,,,,,,,, +705,joypy,leotac/joypy,data-viz,,https://github.com/leotac/joypy,https://github.com/leotac/joypy,MIT,2017-07-30 17:18:50.000,2023-06-16 16:14:43.440000,2021-12-19 09:41:43,133.0,,52.0,11.0,20.0,11.0,37.0,505.0,Joyplots in Python with matplotlib & pandas.,6.0,21,False,2021-12-19 09:42:50.000,0.2.6,17.0,joypy,conda-forge/joypy,,,,332.0,323.0,https://pypi.org/project/joypy,2021-12-19 09:42:50.000,9.0,12902.0,13311.0,https://anaconda.org/conda-forge/joypy,2023-06-16 16:14:43.440,23330.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +706,Popmon,ing-bank/popmon,data-viz,,https://github.com/ing-bank/popmon,https://github.com/ing-bank/popmon,MIT,2020-04-23 11:21:14.000,2023-08-01 17:51:43.000000,2023-07-18 10:24:07,542.0,,35.0,14.0,222.0,15.0,40.0,475.0,Monitor the stability of a Pandas or Spark dataframe.,17.0,21,True,2023-07-18 10:32:00.587,1.4.6,36.0,popmon,,,,"['pandas', 'spark']",22.0,20.0,https://pypi.org/project/popmon,2023-07-18 10:32:00.587,2.0,9098.0,9101.0,,,,,,,,3.0,130.0,,,,,,,,,,,,,,,,,,, +707,pykale,pykale/pykale,others,,https://github.com/pykale/pykale,https://github.com/pykale/pykale,MIT,2020-06-30 08:06:10.000,2023-12-07 12:25:33.000000,2023-12-01 23:20:05,2811.0,162.0,60.0,12.0,254.0,9.0,109.0,409.0,Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary..,22.0,21,True,2023-07-13 11:41:03.541,0.1.2,12.0,pykale,,,,['pytorch'],1.0,1.0,https://pypi.org/project/pykale,2022-04-12 08:56:50.000,,95.0,95.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +708,carefree-learn,carefree0910/carefree-learn,tabular,,https://github.com/carefree0910/carefree-learn,https://github.com/carefree0910/carefree-learn,MIT,2020-06-17 17:44:17.000,2023-12-07 11:54:44.000000,2023-12-06 13:37:17,4776.0,75.0,37.0,13.0,1.0,2.0,80.0,398.0,Deep Learning PyTorch.,1.0,21,True,2023-10-17 14:20:30.000,0.4.8,102.0,carefree-learn,,,,['pytorch'],4.0,4.0,https://pypi.org/project/carefree-learn,2023-10-17 14:20:30.000,,224.0,224.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +709,Studio.ml,studioml/studio,ml-experiments,,https://github.com/studioml/studio,https://github.com/studioml/studio,Apache-2.0,2017-05-15 01:49:28.000,2023-09-06 17:29:29.000000,2023-09-06 17:29:29,2412.0,,52.0,24.0,231.0,57.0,195.0,376.0,Studio: Simplify and expedite model building process.,24.0,21,True,2021-09-14 22:55:51.000,0.0.49,208.0,studioml,,,,,5.0,5.0,https://pypi.org/project/studioml,2021-09-14 22:55:51.000,,622.0,622.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +710,TimeSide,Parisson/TimeSide,audio,,https://github.com/yomguy/TimeSide,https://github.com/yomguy/TimeSide,AGPL-3.0,2011-11-21 21:48:08.000,2023-10-24 10:20:08.000000,2023-02-01 10:38:52,3728.0,,60.0,27.0,110.0,32.0,184.0,359.0,scalable audio processing framework and server written in Python.,22.0,21,False,2023-01-03 17:34:09.000,1.1.3,28.0,TimeSide,,,,,30.0,16.0,https://pypi.org/project/TimeSide,2020-11-27 09:33:19.000,14.0,101.0,101.0,,,,,,,,3.0,,,,yomguy/TimeSide,,,,,,,,,,,,,,,, +711,impyute,eltonlaw/impyute,others,,https://github.com/eltonlaw/impyute,https://github.com/eltonlaw/impyute,MIT,2017-01-21 09:16:27.000,2021-11-06 21:15:04.000000,2021-11-06 21:15:04,292.0,,48.0,10.0,37.0,28.0,37.0,342.0,Data imputations library to preprocess datasets with missing data.,11.0,21,False,2019-04-29 02:33:05.659,0.0.8,8.0,impyute,,,,,213.0,209.0,https://pypi.org/project/impyute,2017-05-31 08:31:47.000,4.0,5187.0,5187.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +712,launchpad,deepmind/launchpad,distributed-ml,,https://github.com/google-deepmind/launchpad,https://github.com/google-deepmind/launchpad,Apache-2.0,2021-02-18 15:16:49.000,2023-08-22 08:22:46.000000,2023-08-22 08:22:26,367.0,,33.0,18.0,6.0,18.0,21.0,301.0,Launchpad is a library that simplifies writing distributed programs and seamlessly launching them on a range of..,28.0,21,True,2022-04-28 06:23:38.000,0.5.2,9.0,dm-launchpad,,,,['tensorflow'],77.0,76.0,https://pypi.org/project/dm-launchpad,2022-04-28 06:23:38.000,1.0,1711.0,1711.0,,,,,,,,3.0,,,,google-deepmind/launchpad,,,,,,,,,,,,,,,, +713,PipelineDP,OpenMined/PipelineDP,privacy-ml,,https://github.com/OpenMined/PipelineDP,https://github.com/OpenMined/PipelineDP,Apache-2.0,2021-02-10 18:04:22.000,2023-12-04 13:11:50.000000,2023-12-04 13:11:50,418.0,23.0,74.0,23.0,431.0,28.0,51.0,262.0,PipelineDP is a Python framework for applying differentially private aggregations to large datasets using batch..,31.0,21,False,2023-10-25 10:51:36.000,0.2.1,23.0,pipeline-dp,,,,,1.0,1.0,https://pypi.org/project/pipeline-dp,2023-11-22 19:01:05.000,,181.0,181.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +714,somoclu,peterwittek/somoclu,distributed-ml,,https://github.com/peterwittek/somoclu,https://github.com/peterwittek/somoclu,MIT,2013-01-16 06:33:16.000,2023-10-13 23:30:32.439000,2022-09-26 07:14:12,621.0,,67.0,27.0,29.0,30.0,113.0,256.0,"Massively parallel self-organizing maps: accelerate training on multicore CPUs, GPUs, and clusters.",19.0,21,False,2023-02-18 02:51:08.166,1.7.6,18.0,somoclu,conda-forge/somoclu,,,,12.0,,https://pypi.org/project/somoclu,2023-02-18 02:51:08.166,12.0,2202.0,4391.0,https://anaconda.org/conda-forge/somoclu,2023-10-13 23:30:32.439,82547.0,,,,,3.0,1833.0,,,,,,,,,,,,,,,,,,, +715,upgini,upgini/upgini,tabular,,https://github.com/upgini/upgini,https://github.com/upgini/upgini,BSD-3-Clause,2021-12-08 21:53:58.000,2023-12-05 08:31:03.000000,2023-12-01 16:58:07,655.0,51.0,21.0,4.0,254.0,4.0,,254.0,Data search & enrichment library for Machine Learning Easily find and add relevant features to your ML pipeline from..,11.0,21,False,2023-12-01 16:57:56.000,1.1.227,522.0,upgini,,,,,5.0,5.0,https://pypi.org/project/upgini,2023-12-01 16:57:56.000,,5022.0,5022.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +716,Larq Compute Engine,larq/compute-engine,model-serialisation,,https://github.com/larq/compute-engine,https://github.com/larq/compute-engine,Apache-2.0,2019-08-29 15:02:43.000,2023-12-07 08:01:22.000000,2023-12-07 08:01:20,578.0,3.0,33.0,25.0,631.0,21.0,127.0,229.0,Highly optimized inference engine for Binarized Neural Networks.,18.0,21,False,2023-08-10 10:30:37.000,0.13.0,20.0,larq-compute-engine,,,,,7.0,7.0,https://pypi.org/project/larq-compute-engine,2023-08-10 10:30:37.000,,1170.0,1191.0,,,,,,,,3.0,979.0,,,,,,,,,,,,,,,,,,, +717,Funsor,pyro-ppl/funsor,probabilistics,,https://github.com/pyro-ppl/funsor,https://github.com/pyro-ppl/funsor,Apache-2.0,2019-01-30 23:13:39.000,2023-08-31 18:37:21.000000,2023-08-31 18:34:42,577.0,,19.0,20.0,464.0,90.0,76.0,224.0,Functional tensors for probabilistic programming.,11.0,21,False,2023-08-31 18:37:22.000,0.4.6,12.0,funsor,,,,['pytorch'],65.0,60.0,https://pypi.org/project/funsor,2023-01-23 08:32:39.757,5.0,44458.0,44458.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +718,PySlowFast,facebookresearch/SlowFast,image,,https://github.com/facebookresearch/SlowFast,https://github.com/facebookresearch/SlowFast,Apache-2.0,2019-08-20 22:47:26.000,2023-10-19 02:22:22.000000,2023-10-19 02:11:57,190.0,1.0,1142.0,99.0,47.0,362.0,278.0,6036.0,PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.,31.0,20,True,,,1.0,pyslowfast,,,,['pytorch'],15.0,15.0,https://pypi.org/project/pyslowfast,2020-01-15 23:51:07.000,,17.0,17.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +719,TensorWatch,microsoft/tensorwatch,ml-experiments,,https://github.com/microsoft/tensorwatch,https://github.com/microsoft/tensorwatch,MIT,2019-05-15 08:29:34.000,2023-08-30 07:47:40.000000,2023-08-30 07:47:36,119.0,,357.0,98.0,16.0,53.0,17.0,3343.0,"Debugging, monitoring and visualization for Python Machine Learning and Data Science.",15.0,20,True,2020-03-04 07:26:22.000,0.9.1,14.0,tensorwatch,,,,,140.0,133.0,https://pypi.org/project/tensorwatch,2020-03-04 07:26:22.000,7.0,911.0,911.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +720,igel,nidhaloff/igel,hyperopt,,https://github.com/nidhaloff/igel,https://github.com/nidhaloff/igel,MIT,2020-08-27 20:54:59.000,2023-04-08 21:24:52.000000,2023-04-08 21:24:51,429.0,,168.0,66.0,54.0,6.0,44.0,3070.0,"a delightful machine learning tool that allows you to train, test, and use models without writing code.",20.0,20,True,2021-11-19 16:51:47.000,1.0.0,34.0,igel,,,,,4.0,4.0,https://pypi.org/project/igel,2021-11-19 16:45:29.543,,163.0,164.0,,,,,,,,3.0,40.0,,,,,,,,,,,,,,,,,,, +721,lightseq,bytedance/lightseq,nlp,,https://github.com/bytedance/lightseq,https://github.com/bytedance/lightseq,Apache-2.0,2019-12-06 08:25:24.000,2023-05-16 10:47:48.000000,2023-05-10 04:35:39,269.0,,313.0,60.0,242.0,173.0,109.0,2992.0,LightSeq: A High Performance Library for Sequence Processing and Generation.,17.0,20,True,2022-11-03 06:46:55.989,3.0.1,22.0,lightseq,,,,,2.0,,https://pypi.org/project/lightseq,2022-11-03 06:46:55.989,2.0,1222.0,1236.0,,,,,,,,3.0,672.0,,,,,,,,,,,,,,,,,,, +722,image-match,ProvenanceLabs/image-match,image,,https://github.com/rhsimplex/image-match,https://github.com/rhsimplex/image-match,Apache-2.0,2016-03-08 18:16:45.000,2022-12-06 11:29:04.000000,2022-12-06 11:29:04,406.0,,398.0,101.0,54.0,64.0,48.0,2898.0,Quickly search over billions of images.,19.0,20,True,2017-02-13 14:54:48.000,1.1.2,10.0,image_match,,,,,4.0,,https://pypi.org/project/image_match,2017-02-13 14:54:48.000,4.0,544.0,544.0,,,,,,,,3.0,,,,rhsimplex/image-match,,,,,,,,,,,,,,,, +723,pytorchviz,szagoruyko/pytorchviz,pytorch-utils,,https://github.com/szagoruyko/pytorchviz,https://github.com/szagoruyko/pytorchviz,MIT,2018-01-30 15:37:55.000,2023-10-11 16:38:54.000000,2021-06-15 18:41:51,22.0,,260.0,33.0,19.0,27.0,37.0,2861.0,A small package to create visualizations of PyTorch execution graphs.,6.0,20,False,,,,,,,,,1462.0,1462.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +724,DeepWalk,phanein/deepwalk,graph,,https://github.com/phanein/deepwalk,https://github.com/phanein/deepwalk,GPL-3.0,2014-08-23 03:38:20.000,2023-06-14 23:22:41.000000,2020-04-02 01:05:35,46.0,,827.0,86.0,30.0,45.0,80.0,2602.0,DeepWalk - Deep Learning for Graphs.,10.0,20,False,2018-04-29 21:05:18.000,1.0.3,4.0,deepwalk,,,,,76.0,69.0,https://pypi.org/project/deepwalk,2018-04-29 21:05:18.000,7.0,867.0,867.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +725,Coach,IntelLabs/coach,reinforcement-learning,,https://github.com/IntelLabs/coach,https://github.com/IntelLabs/coach,Apache-2.0,2017-10-01 19:27:43.000,2022-12-11 17:54:07.000000,2022-12-11 17:54:06,524.0,,451.0,127.0,225.0,87.0,183.0,2276.0,Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning..,38.0,20,True,2019-10-10 14:17:10.000,1.0.1,13.0,rl_coach,,,,,2.0,,https://pypi.org/project/rl_coach,2019-10-10 14:17:10.000,2.0,108.0,108.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +726,pycls,facebookresearch/pycls,image,,https://github.com/facebookresearch/pycls,https://github.com/facebookresearch/pycls,MIT,2019-06-10 22:47:17.000,2023-08-26 21:36:44.000000,2023-08-26 20:55:56,106.0,,231.0,62.0,105.0,25.0,56.0,2086.0,"Codebase for Image Classification Research, written in PyTorch.",19.0,20,True,2021-05-21 00:29:47.000,0.2,3.0,pycls,,,,['pytorch'],16.0,16.0,https://pypi.org/project/pycls,2020-09-05 00:21:00.000,,1116.0,1116.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +727,reformer-pytorch,lucidrains/reformer-pytorch,pytorch-utils,,https://github.com/lucidrains/reformer-pytorch,https://github.com/lucidrains/reformer-pytorch,MIT,2020-01-09 20:42:37.000,2023-06-21 14:17:49.000000,2023-06-21 14:07:30,249.0,,252.0,54.0,35.0,14.0,105.0,1998.0,"Reformer, the efficient Transformer, in Pytorch.",11.0,20,True,2021-11-06 23:09:00.000,1.4.4,139.0,reformer-pytorch,,,,['pytorch'],,,https://pypi.org/project/reformer-pytorch,2021-11-06 23:09:00.000,,4212.0,4212.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +728,BlazingSQL,BlazingDB/blazingsql,gpu-utilities,,https://github.com/BlazingDB/blazingsql,https://github.com/BlazingDB/blazingsql,Apache-2.0,2018-09-24 18:25:45.000,2023-06-16 16:17:31.557000,2021-09-30 21:51:09,8208.0,,176.0,55.0,895.0,129.0,586.0,1867.0,"BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.",49.0,20,False,2021-08-16 15:40:43.000,21.08.00,19.0,,blazingsql/blazingsql-protocol,,,,,,,,,,19.0,https://anaconda.org/blazingsql/blazingsql-protocol,2023-06-16 16:17:31.557,1019.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +729,sklearn-contrib-lightning,scikit-learn-contrib/lightning,sklearn-utils,,https://github.com/scikit-learn-contrib/lightning,https://github.com/scikit-learn-contrib/lightning,BSD-3-Clause,2012-01-11 13:53:52.000,2023-07-18 11:41:11.000000,2022-01-30 01:22:30,743.0,,209.0,38.0,111.0,54.0,42.0,1690.0,"Large-scale linear classification, regression and ranking in Python.",17.0,20,False,2022-01-30 01:10:13.000,0.6.2.post0,12.0,sklearn-contrib-lightning,conda-forge/sklearn-contrib-lightning,,,['sklearn'],8.0,,https://pypi.org/project/sklearn-contrib-lightning,2022-01-30 00:43:43.000,8.0,1381.0,3671.0,https://anaconda.org/conda-forge/sklearn-contrib-lightning,2023-06-16 13:18:02.734,202704.0,,,,,3.0,407.0,-2.0,,,,,,,,,,,,,,,,,, +730,lore,instacart/lore,ml-experiments,,https://github.com/instacart/lore,https://github.com/instacart/lore,MIT,2017-10-19 21:51:45.000,2023-05-13 02:26:19.000000,2022-09-27 19:41:48,274.0,,140.0,102.0,150.0,21.0,20.0,1550.0,Lore makes machine learning approachable for Software Engineers and maintainable for Machine Learning Researchers.,29.0,20,False,2022-02-18 18:01:38.000,0.8.6,233.0,lore,,,,,21.0,20.0,https://pypi.org/project/lore,2022-02-18 18:01:38.000,1.0,335.0,335.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +731,Lambda Networks,lucidrains/lambda-networks,pytorch-utils,,https://github.com/lucidrains/lambda-networks,https://github.com/lucidrains/lambda-networks,MIT,2020-10-08 19:01:15.000,2020-11-18 19:54:34.000000,2020-11-18 19:54:30,31.0,,157.0,46.0,3.0,13.0,15.0,1531.0,"Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute.",3.0,20,False,2020-11-18 08:19:23.000,0.4.0,11.0,lambda-networks,,,,['pytorch'],17.0,17.0,https://pypi.org/project/lambda-networks,2020-11-18 08:19:23.000,,2293.0,2293.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +732,DLTK,DLTK/DLTK,medical-data,,https://github.com/DLTK/DLTK,https://github.com/DLTK/DLTK,Apache-2.0,2017-05-02 15:40:36.000,2023-03-24 22:27:46.000000,2019-01-21 14:01:28,379.0,,401.0,102.0,36.0,11.0,24.0,1404.0,Deep Learning Toolkit for Medical Image Analysis.,9.0,20,False,2018-02-26 17:43:57.000,0.2.1,5.0,dltk,,,,['tensorflow'],31.0,31.0,https://pypi.org/project/dltk,2018-02-26 17:43:57.000,,120.0,120.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +733,doc2text,jlsutherland/doc2text,ocr,,https://github.com/jlsutherland/doc2text,https://github.com/jlsutherland/doc2text,MIT,2016-08-28 19:30:02.000,2020-12-01 22:56:27.000000,2020-12-01 22:56:26,62.0,,101.0,41.0,13.0,14.0,9.0,1264.0,Detect text blocks and OCR poorly scanned PDFs in bulk. Python module available via pip.,5.0,20,False,2016-09-06 21:59:21.000,0.2.4,5.0,doc2text,,,,,109.0,108.0,https://pypi.org/project/doc2text,2016-09-06 21:59:21.000,1.0,3621.0,3621.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +734,pytorch_tabular,manujosephv/pytorch_tabular,tabular,,https://github.com/manujosephv/pytorch_tabular,https://github.com/manujosephv/pytorch_tabular,MIT,2020-12-15 07:17:03.000,2023-12-07 01:03:14.000000,2023-12-07 01:03:14,491.0,41.0,115.0,21.0,203.0,13.0,107.0,1083.0,A standard framework for modelling Deep Learning Models for tabular data.,17.0,20,True,2023-06-01 06:16:39.000,1.0.2,11.0,pytorch_tabular,,,,['pytorch'],2.0,,https://pypi.org/project/pytorch_tabular,2021-09-01 11:51:30.000,2.0,3185.0,3185.0,,,,,,,,3.0,21.0,,,,,,,,,,,,,,,,,,, +735,nnAudio,KinWaiCheuk/nnAudio,audio,,https://github.com/KinWaiCheuk/nnAudio,https://github.com/KinWaiCheuk/nnAudio,MIT,2019-09-02 04:31:14.000,2023-09-04 22:14:55.000000,2023-09-04 22:14:55,303.0,,87.0,18.0,72.0,18.0,42.0,917.0,Audio processing by using pytorch 1D convolution network.,15.0,20,True,2022-10-09 13:50:13.300,0.3.2,39.0,nnAudio,,,,,144.0,141.0,https://pypi.org/project/nnAudio,2021-12-24 09:38:22.000,3.0,3512.0,3512.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +736,Dragonfly,dragonfly/dragonfly,hyperopt,,https://github.com/dragonfly/dragonfly,https://github.com/dragonfly/dragonfly,MIT,2018-04-20 22:19:50.000,2023-06-19 20:23:17.000000,2022-10-01 22:21:50,400.0,,225.0,31.0,38.0,39.0,21.0,813.0,An open source python library for scalable Bayesian optimisation.,13.0,20,False,2022-10-01 22:28:00.848,0.1.7,10.0,dragonfly-opt,,,,,2.0,,https://pypi.org/project/dragonfly-opt,2022-10-01 22:28:00.848,2.0,20425.0,20425.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +737,PDPbox,SauceCat/PDPbox,data-viz,,https://github.com/SauceCat/PDPbox,https://github.com/SauceCat/PDPbox,MIT,2017-06-26 08:01:54.000,2023-06-10 14:57:37.569000,2023-06-05 01:35:02,228.0,,127.0,17.0,24.0,27.0,39.0,792.0,python partial dependence plot toolbox.,7.0,20,True,2023-06-05 02:53:01.145,0.3.0,4.0,pdpbox,conda-forge/pdpbox,,,,26.0,,https://pypi.org/project/pdpbox,2021-03-14 16:21:17.000,26.0,24894.0,25262.0,https://anaconda.org/conda-forge/pdpbox,2023-06-10 14:57:37.569,19553.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +738,TensorFrames,databricks/tensorframes,distributed-ml,,https://github.com/databricks/tensorframes,https://github.com/databricks/tensorframes,Apache-2.0,2016-03-04 19:25:19.000,2023-03-30 20:05:58.000000,2019-11-15 21:43:53,221.0,,159.0,76.0,98.0,51.0,43.0,752.0,[DEPRECATED] Tensorflow wrapper for DataFrames on Apache Spark.,16.0,20,False,2018-11-16 20:50:02.000,0.6.0,6.0,tensorframes,,,,"['tensorflow', 'spark']",1.0,,https://pypi.org/project/tensorframes,2018-05-16 14:20:28.000,1.0,27682.0,27682.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +739,NearPy,pixelogik/NearPy,nn-search,,https://github.com/pixelogik/NearPy,https://github.com/pixelogik/NearPy,MIT,2013-04-25 09:10:26.000,2023-02-23 15:20:18.000000,2023-01-22 20:07:16,161.0,,147.0,37.0,33.0,25.0,39.0,748.0,"Python framework for fast (approximated) nearest neighbour search in large, high-dimensional data sets using different..",20.0,20,True,2016-09-27 13:04:44.000,1.0.0,8.0,NearPy,,,,,111.0,95.0,https://pypi.org/project/NearPy,2016-09-27 13:03:12.000,16.0,661.0,661.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +740,sklearn-deap,rsteca/sklearn-deap,hyperopt,,https://github.com/rsteca/sklearn-deap,https://github.com/rsteca/sklearn-deap,MIT,2015-10-28 22:52:34.000,2023-07-02 20:27:29.000000,2021-07-30 15:06:27,104.0,,127.0,30.0,28.0,21.0,34.0,744.0,Use evolutionary algorithms instead of gridsearch in scikit-learn.,23.0,20,False,2021-07-30 15:13:54.000,0.3.0,14.0,sklearn-deap,,,,['sklearn'],44.0,42.0,https://pypi.org/project/sklearn-deap,2021-07-30 15:13:54.000,2.0,859.0,859.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +741,TensorBoard Logger,TeamHG-Memex/tensorboard_logger,ml-experiments,,https://github.com/TeamHG-Memex/tensorboard_logger,https://github.com/TeamHG-Memex/tensorboard_logger,MIT,2016-10-27 14:02:25.000,2022-12-26 20:24:35.000000,2019-10-21 07:52:07,46.0,,52.0,30.0,12.0,11.0,15.0,626.0,Log TensorBoard events without touching TensorFlow.,5.0,20,False,2018-02-08 07:28:51.000,0.1.0,5.0,tensorboard_logger,,,,,214.0,160.0,https://pypi.org/project/tensorboard_logger,2018-02-08 07:28:51.000,54.0,5684.0,5684.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +742,detecto,alankbi/detecto,image,,https://github.com/alankbi/detecto,https://github.com/alankbi/detecto,MIT,2019-12-11 21:50:28.000,2023-07-28 19:05:13.000000,2022-02-09 16:35:40,142.0,,105.0,24.0,25.0,43.0,61.0,604.0,Build fully-functioning computer vision models with PyTorch.,12.0,20,False,2022-02-02 00:22:07.000,1.2.2,13.0,detecto,conda-forge/detecto,,,['pytorch'],155.0,153.0,https://pypi.org/project/detecto,2022-02-02 00:12:06.000,2.0,2115.0,2228.0,https://anaconda.org/conda-forge/detecto,2023-06-16 19:26:16.964,3408.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +743,PyWaffle,gyli/PyWaffle,data-viz,,https://github.com/gyli/PyWaffle,https://github.com/gyli/PyWaffle,MIT,2017-11-14 20:03:47.000,2023-06-16 16:12:33.889000,2022-06-08 03:46:02,305.0,,104.0,10.0,14.0,5.0,16.0,564.0,Make Waffle Charts in Python.,6.0,20,False,2022-06-08 03:10:36.000,1.1.0,27.0,pywaffle,conda-forge/pywaffle,,,,304.0,300.0,https://pypi.org/project/pywaffle,2022-06-08 03:10:36.000,4.0,4090.0,4276.0,https://anaconda.org/conda-forge/pywaffle,2023-06-16 16:12:33.889,11198.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +744,Poutyne,GRAAL-Research/poutyne,pytorch-utils,,https://github.com/GRAAL-Research/poutyne,https://github.com/GRAAL-Research/poutyne,LGPL-3.0,2017-12-07 18:30:17.000,2023-07-09 16:15:44.000000,2023-07-09 16:09:49,767.0,,62.0,18.0,111.0,8.0,48.0,554.0,A simplified framework and utilities for PyTorch.,20.0,20,False,2023-07-09 16:15:44.000,1.17.1,37.0,poutyne,,,,['pytorch'],132.0,127.0,https://pypi.org/project/poutyne,2022-04-28 20:18:33.000,5.0,4184.0,4184.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +745,pyhsmm,mattjj/pyhsmm,probabilistics,,https://github.com/mattjj/pyhsmm,https://github.com/mattjj/pyhsmm,MIT,2012-03-18 17:40:13.000,2022-10-26 08:37:57.000000,2020-08-24 17:03:59,1426.0,,165.0,56.0,20.0,39.0,60.0,535.0,Bayesian inference in HSMMs and HMMs.,13.0,20,False,2017-05-10 17:14:37.000,0.1.7,8.0,pyhsmm,,,,,32.0,27.0,https://pypi.org/project/pyhsmm,2017-05-10 17:14:37.000,5.0,131.0,131.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +746,small-text,webis-de/small-text,nlp,,https://github.com/webis-de/small-text,https://github.com/webis-de/small-text,MIT,2021-05-24 08:06:41.000,2023-11-19 22:18:19.000000,2023-11-15 13:01:50,447.0,1.0,53.0,26.0,7.0,11.0,32.0,503.0,Active Learning for Text Classification in Python.,4.0,20,True,2023-08-19 18:16:36.000,1.3.2,19.0,small-text,conda-forge/small-text,,,"['sklearn', 'pytorch']",24.0,24.0,https://pypi.org/project/small-text,2023-08-19 18:14:35.000,,785.0,1073.0,https://anaconda.org/conda-forge/small-text,2023-08-19 18:38:17.816,4907.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +747,pydlm,wwrechard/pydlm,time-series-data,,https://github.com/wwrechard/pydlm,https://github.com/wwrechard/pydlm,BSD-3-Clause,2016-06-29 07:58:53.000,2023-10-04 01:35:07.000000,2023-09-04 05:41:43,372.0,,97.0,28.0,21.0,37.0,12.0,466.0,A python library for Bayesian time series modeling.,6.0,20,True,2023-05-07 06:30:08.000,0.1.1.12,14.0,pydlm,,,,,34.0,32.0,https://pypi.org/project/pydlm,2018-12-19 10:27:54.000,2.0,24584.0,24584.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +748,UForm,unum-cloud/uform,nlp,,https://github.com/unum-cloud/uform,https://github.com/unum-cloud/uform,Apache-2.0,2023-02-21 10:04:40.000,2023-11-30 14:02:52.000000,2023-10-13 05:07:33,152.0,14.0,21.0,6.0,41.0,,8.0,454.0,"Multi-Modal AI library for Multi-Lingual Text, Image, and Video Search, Recommendations, and other Vision-Language..",9.0,20,True,2023-10-13 05:08:46.000,0.4.8,24.0,uform,,,,['pytorch'],10.0,10.0,https://pypi.org/project/uform,2023-10-13 05:08:46.000,,596.0,596.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +749,chefboost,serengil/chefboost,ml-frameworks,,https://github.com/serengil/chefboost,https://github.com/serengil/chefboost,MIT,2019-03-06 12:26:27.000,2023-11-23 15:16:58.000000,2023-10-31 10:34:13,363.0,2.0,96.0,18.0,4.0,5.0,27.0,423.0,"A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4,5, CART, CHAID and Regression Trees; some..",6.0,20,True,2022-02-16 06:14:54.000,0.0.17,17.0,chefboost,,,,,51.0,51.0,https://pypi.org/project/chefboost,2022-02-16 06:14:54.000,,1541.0,1541.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +750,model-card-toolkit,tensorflow/model-card-toolkit,interpretability,,https://github.com/tensorflow/model-card-toolkit,https://github.com/tensorflow/model-card-toolkit,Apache-2.0,2020-07-24 16:48:58.000,2023-07-26 12:05:00.000000,2023-07-26 12:04:59,273.0,,79.0,20.0,247.0,10.0,23.0,392.0,A toolkit that streamlines and automates the generation of model cards.,22.0,20,True,2023-04-03 18:05:05.715,2.0.0,12.0,model-card-toolkit,,,,,23.0,22.0,https://pypi.org/project/model-card-toolkit,2022-04-28 16:34:21.000,1.0,2320.0,2320.0,,,,,,,,3.0,14.0,,,,,,,,,,,,,,,,,,, +751,scikit-rebate,EpistasisLab/scikit-rebate,others,,https://github.com/EpistasisLab/scikit-rebate,https://github.com/EpistasisLab/scikit-rebate,MIT,2016-09-19 13:36:17.000,2023-06-16 16:08:23.527000,2021-02-15 17:10:59,283.0,,70.0,24.0,48.0,15.0,19.0,388.0,"A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for..",13.0,20,False,2017-04-12 16:12:01.000,0.3.4,13.0,skrebate,conda-forge/skrebate,,,['sklearn'],47.0,,https://pypi.org/project/skrebate,2021-03-20 17:11:52.000,47.0,3524.0,3972.0,https://anaconda.org/conda-forge/skrebate,2023-06-16 16:08:23.527,31853.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +752,Julius,adefossez/julius,audio,,https://github.com/adefossez/julius,https://github.com/adefossez/julius,MIT,2020-10-26 10:54:21.000,2022-09-26 14:14:12.000000,2022-09-19 16:13:14,69.0,,26.0,10.0,9.0,2.0,9.0,381.0,Fast PyTorch based DSP for audio and 1D signals.,2.0,20,False,2022-09-20 06:43:57.063,0.2.7,11.0,julius,,,,['pytorch'],830.0,824.0,https://pypi.org/project/julius,2022-09-20 06:43:57.063,6.0,170925.0,170925.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +753,textaugment,dsfsi/textaugment,nlp,,https://github.com/dsfsi/textaugment,https://github.com/dsfsi/textaugment,MIT,2019-05-06 12:28:19.000,2023-11-17 08:50:12.000000,2023-11-17 08:50:12,72.0,5.0,57.0,8.0,10.0,11.0,18.0,351.0,TextAugment: Text Augmentation Library.,8.0,20,True,2023-11-16 20:54:10.000,2.0.0,9.0,textaugment,,,,,74.0,70.0,https://pypi.org/project/textaugment,2023-11-16 20:49:04.000,4.0,4763.0,4764.0,,,,,,,,3.0,62.0,,,,,,,,,,,,,,,,,,, +754,MXBoard,awslabs/mxboard,ml-experiments,,https://github.com/awslabs/mxboard,https://github.com/awslabs/mxboard,Apache-2.0,2018-02-06 23:03:51.000,2021-11-30 10:46:24.000000,2020-01-24 23:21:55,42.0,,46.0,26.0,19.0,15.0,16.0,324.0,Logging MXNet data for visualization in TensorBoard.,9.0,20,False,2018-05-22 20:25:51.000,0.1.0,12.0,mxboard,,,,['mxnet'],234.0,228.0,https://pypi.org/project/mxboard,2018-05-22 20:25:51.000,6.0,2856.0,2856.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +755,ivis,beringresearch/ivis,data-viz,,https://github.com/beringresearch/ivis,https://github.com/beringresearch/ivis,Apache-2.0,2018-08-13 08:31:01.000,2023-11-09 23:19:49.000000,2023-11-09 23:18:48,634.0,11.0,41.0,13.0,63.0,3.0,56.0,304.0,Dimensionality reduction in very large datasets using Siamese Networks.,10.0,20,True,2023-01-11 12:30:05.335,2.0.9,35.0,ivis,,,,['tensorflow'],33.0,31.0,https://pypi.org/project/ivis,2022-03-10 14:57:02.000,2.0,197.0,197.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +756,sk-dist,Ibotta/sk-dist,distributed-ml,,https://github.com/Ibotta/sk-dist,https://github.com/Ibotta/sk-dist,Apache-2.0,2019-08-14 21:07:17.000,2023-03-23 15:39:49.000000,2023-02-07 20:17:52,60.0,,56.0,26.0,41.0,8.0,10.0,286.0,Distributed scikit-learn meta-estimators in PySpark.,8.0,20,False,2020-05-14 22:20:14.000,0.1.9,12.0,sk-dist,,,,"['sklearn', 'spark']",18.0,16.0,https://pypi.org/project/sk-dist,2020-05-14 22:20:14.000,2.0,309627.0,309627.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +757,vegafusion,vegafusion/vegafusion,data-viz,,https://github.com/hex-inc/vegafusion,https://github.com/hex-inc/vegafusion,BSD-3-Clause,2021-10-01 09:19:27.000,2023-12-05 23:57:04.000000,2023-12-05 23:57:04,616.0,23.0,10.0,21.0,300.0,40.0,73.0,277.0,Serverside scaling for Vega and Altair visualizations.,3.0,20,False,2023-11-20 12:17:51.531,1.4.5,61.0,vegafusion-jupyter,conda-forge/vegafusion-python-embed,,,,2.0,,https://pypi.org/project/vegafusion-jupyter,2023-11-20 12:05:56.000,1.0,1049.0,5902.0,https://anaconda.org/conda-forge/vegafusion-python-embed,2023-11-20 17:43:11.145,83220.0,,,,,3.0,4937.0,,,hex-inc/vegafusion,vegafusion-jupyter,https://www.npmjs.com/package/vegafusion-jupyter,2023-11-20 12:17:51.531,1.0,677.0,,,,,,,,,,, +758,Glow,projectglow/glow,medical-data,,https://github.com/projectglow/glow,https://github.com/projectglow/glow,Apache-2.0,2019-10-04 21:26:47.000,2023-10-31 23:55:05.000000,2023-01-26 17:04:18,400.0,,100.0,19.0,387.0,66.0,86.0,248.0,An open-source toolkit for large-scale genomic analysis.,24.0,20,False,2022-04-21 00:32:28.000,1.2.1,15.0,glow.py,conda-forge/glow,,,,,,https://pypi.org/project/glow.py,2022-04-19 23:43:38.000,,32882.0,32992.0,https://anaconda.org/conda-forge/glow,2023-06-16 19:24:57.965,3756.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +759,pyRDF2Vec,IBCNServices/pyRDF2Vec,graph,,https://github.com/IBCNServices/pyRDF2Vec,https://github.com/IBCNServices/pyRDF2Vec,MIT,2019-06-13 11:36:12.000,2023-12-02 13:39:03.000000,2023-07-02 18:02:16,1462.0,,45.0,14.0,156.0,18.0,62.0,229.0,Python Implementation and Extension of RDF2Vec.,7.0,20,False,2021-06-09 10:56:14.000,0.2.3,11.0,pyrdf2vec,,,,,38.0,36.0,https://pypi.org/project/pyrdf2vec,2021-06-09 10:56:14.000,2.0,209.0,209.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +760,pyfasttext,vrasneur/pyfasttext,nlp,,https://github.com/vrasneur/pyfasttext,https://github.com/vrasneur/pyfasttext,GPL-3.0,2017-06-30 18:44:42.000,2018-12-08 15:32:09.000000,2018-12-08 15:02:12,153.0,,31.0,9.0,4.0,20.0,29.0,227.0,Yet another Python binding for fastText.,4.0,20,False,2018-12-08 15:32:09.000,0.4.6,13.0,pyfasttext,,,,,391.0,377.0,https://pypi.org/project/pyfasttext,2018-12-08 15:32:09.000,14.0,1813.0,1817.0,,,,,,,,3.0,365.0,,,,,,,,,,,,,,,,,,, +761,OMLT,cog-imperial/omlt,model-serialisation,,https://github.com/cog-imperial/OMLT,https://github.com/cog-imperial/OMLT,BSD-3-Clause,2021-06-03 12:39:38.000,2023-12-07 09:25:39.000000,2023-12-05 10:10:07,457.0,52.0,47.0,14.0,77.0,13.0,35.0,219.0,Represent trained machine learning models as Pyomo optimization formulations.,17.0,20,False,2022-01-21 16:05:52.000,0.3.1,7.0,omlt,,,,,1.0,,https://pypi.org/project/omlt,2022-02-08 01:23:07.000,1.0,6008.0,6008.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +762,numerizer,jaidevd/numerizer,nlp,,https://github.com/jaidevd/numerizer,https://github.com/jaidevd/numerizer,MIT,2019-12-02 07:00:34.000,2023-05-01 07:53:03.000000,2023-05-01 07:50:02,24.0,,23.0,8.0,11.0,5.0,9.0,210.0,A Python module to convert natural language numerics into ints and floats.,4.0,20,False,2023-05-01 07:55:52.405,0.2.3,11.0,numerizer,,,,,66.0,64.0,https://pypi.org/project/numerizer,2023-01-03 08:08:01.830,2.0,61896.0,61896.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +763,GraphGym,snap-stanford/GraphGym,graph,,https://github.com/snap-stanford/GraphGym,https://github.com/snap-stanford/GraphGym,MIT,2020-10-14 05:01:35.000,2023-11-10 05:37:18.000000,2023-03-14 23:02:49,75.0,,169.0,24.0,20.0,14.0,30.0,1515.0,Platform for designing and evaluating Graph Neural Networks (GNN).,6.0,19,True,2022-03-24 23:28:17.000,0.4.0,3.0,graphgym,,,,,4.0,4.0,https://pypi.org/project/graphgym,2022-03-24 23:19:13.000,,93.0,93.0,,,,,,,,3.0,26.0,,,,,,,,,,,,,,,,,,, +764,ThunderSVM,Xtra-Computing/thundersvm,ml-frameworks,,https://github.com/Xtra-Computing/thundersvm,https://github.com/Xtra-Computing/thundersvm,Apache-2.0,2014-12-11 04:24:04.000,2023-09-15 04:35:29.000000,2023-09-15 04:35:29,906.0,1.0,206.0,57.0,52.0,72.0,148.0,1509.0,ThunderSVM: A Fast SVM Library on GPUs and CPUs.,35.0,19,True,2020-03-13 12:36:30.000,0.3.12,9.0,thundersvm,,,,,,,https://pypi.org/project/thundersvm,2020-03-13 12:36:30.000,,405.0,436.0,,,,,,,,3.0,2719.0,,,,,,,,,,,,,,,,,,, +765,Performer Pytorch,lucidrains/performer-pytorch,pytorch-utils,,https://github.com/lucidrains/performer-pytorch,https://github.com/lucidrains/performer-pytorch,MIT,2020-10-03 03:41:36.000,2022-02-02 20:34:04.000000,2022-02-02 20:33:18,124.0,,139.0,17.0,11.0,41.0,43.0,1012.0,"An implementation of Performer, a linear attention-based transformer, in Pytorch.",6.0,19,False,2022-02-02 20:34:04.000,1.1.4,80.0,performer-pytorch,,,,['pytorch'],110.0,105.0,https://pypi.org/project/performer-pytorch,2022-02-02 20:34:04.000,5.0,5915.0,5915.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +766,AlphaPy,ScottfreeLLC/AlphaPy,hyperopt,,https://github.com/ScottfreeLLC/AlphaPy,https://github.com/ScottfreeLLC/AlphaPy,Apache-2.0,2016-02-14 00:47:32.000,2023-11-05 18:48:57.000000,2023-11-05 18:48:57,429.0,2.0,182.0,62.0,7.0,13.0,29.0,984.0,"Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost.",5.0,19,True,2020-08-29 18:48:20.000,2.5.0,25.0,alphapy,,,,,4.0,4.0,https://pypi.org/project/alphapy,2020-08-29 18:44:15.000,,150.0,150.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +767,ADTK,arundo/adtk,time-series-data,,https://github.com/arundo/adtk,https://github.com/arundo/adtk,MPL-2.0,2019-09-27 00:34:22.000,2023-09-12 16:10:40.000000,2020-04-17 02:27:44,79.0,,130.0,26.0,74.0,42.0,36.0,981.0,A Python toolkit for rule-based/unsupervised anomaly detection in time series.,11.0,19,False,2020-04-17 02:18:00.000,0.6.2,13.0,adtk,conda-forge/adtk,,,,2.0,,https://pypi.org/project/adtk,2020-04-17 02:18:00.000,2.0,247949.0,248119.0,https://anaconda.org/conda-forge/adtk,2023-06-16 19:18:16.533,7672.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +768,pytorch2keras,gmalivenko/pytorch2keras,model-serialisation,,https://github.com/gmalivenko/pytorch2keras,https://github.com/gmalivenko/pytorch2keras,MIT,2017-11-16 20:21:43.000,2022-12-08 11:42:52.000000,2021-08-06 08:18:46,282.0,,144.0,15.0,24.0,58.0,69.0,842.0,PyTorch to Keras model convertor.,13.0,19,False,2020-05-14 10:03:56.000,0.2.4,23.0,pytorch2keras,,,,,88.0,87.0,https://pypi.org/project/pytorch2keras,2020-05-14 10:03:56.000,1.0,399.0,399.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +769,matrixprofile-ts,target/matrixprofile-ts,time-series-data,,https://github.com/target/matrixprofile-ts,https://github.com/target/matrixprofile-ts,Apache-2.0,2018-09-10 19:03:34.000,2023-04-23 10:08:18.000000,2020-04-25 18:37:42,198.0,,101.0,26.0,48.0,19.0,35.0,722.0,A Python library for detecting patterns and anomalies in massive datasets using the Matrix Profile.,15.0,19,False,2019-08-08 01:24:38.000,0.0.9,9.0,matrixprofile-ts,,,,,23.0,21.0,https://pypi.org/project/matrixprofile-ts,2019-08-08 01:24:38.000,2.0,226.0,226.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +770,Auto TS,AutoViML/Auto_TS,time-series-data,,https://github.com/AutoViML/Auto_TS,https://github.com/AutoViML/Auto_TS,Apache-2.0,2020-02-15 15:23:32.000,2023-12-03 18:38:28.000000,2023-12-03 18:37:11,285.0,9.0,106.0,19.0,21.0,,85.0,635.0,"Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of..",11.0,19,True,2023-12-03 18:38:28.000,0.0.82,36.0,auto-ts,,,,,,,https://pypi.org/project/auto-ts,2023-12-03 18:38:28.000,,4212.0,4212.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +771,tcav,tensorflow/tcav,interpretability,,https://github.com/tensorflow/tcav,https://github.com/tensorflow/tcav,Apache-2.0,2018-07-03 17:45:35.000,2023-10-03 22:41:56.000000,2021-09-16 17:56:31,171.0,,143.0,35.0,80.0,14.0,55.0,595.0,Code for the TCAV ML interpretability project.,19.0,19,False,2021-02-23 16:17:42.000,0.2.2,4.0,tcav,,,,['tensorflow'],21.0,18.0,https://pypi.org/project/tcav,2021-02-23 16:17:42.000,3.0,138.0,138.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +772,baikal,alegonz/baikal,others,,https://github.com/alegonz/baikal,https://github.com/alegonz/baikal,BSD-3-Clause,2019-01-21 12:59:02.000,2023-10-01 08:59:57.840000,2021-04-11 07:50:00,405.0,,29.0,19.0,42.0,6.0,18.0,593.0,A graph-based functional API for building complex scikit-learn pipelines.,2.0,19,False,2020-11-15 13:40:18.000,0.4.2,15.0,baikal,conda-forge/cython-blis,,,,10.0,9.0,https://pypi.org/project/baikal,2020-11-15 13:40:18.000,1.0,308.0,52190.0,https://anaconda.org/conda-forge/cython-blis,2023-10-01 08:59:57.840,2023431.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +773,N2,kakao/n2,nn-search,,https://github.com/kakao/n2,https://github.com/kakao/n2,Apache-2.0,2017-11-23 02:27:59.000,2023-06-27 16:54:16.000000,2023-06-27 16:54:13,266.0,,75.0,39.0,17.0,13.0,22.0,557.0,TOROS N2 - lightweight approximate Nearest Neighbor library which runs fast even with large datasets.,20.0,19,True,2020-10-16 03:43:47.000,0.1.7,9.0,n2,,,,,35.0,31.0,https://pypi.org/project/n2,2020-10-16 03:10:01.000,4.0,286.0,286.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +774,fastT5,Ki6an/fastT5,nlp,,https://github.com/Ki6an/fastT5,https://github.com/Ki6an/fastT5,Apache-2.0,2021-03-11 08:46:42.000,2023-04-24 18:46:40.000000,2022-04-05 03:21:24,38.0,,66.0,12.0,10.0,22.0,41.0,511.0,boost inference speed of T5 models by 5x & reduce the model size by 3x.,5.0,19,False,2022-04-05 03:23:12.000,0.1.4,14.0,fastt5,,,,,43.0,43.0,https://pypi.org/project/fastt5,2022-04-05 03:23:12.000,,1591.0,1591.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +775,Auto ViML,AutoViML/Auto_ViML,hyperopt,,https://github.com/AutoViML/Auto_ViML,https://github.com/AutoViML/Auto_ViML,Apache-2.0,2019-06-10 13:09:15.000,2023-12-03 19:05:32.000000,2023-12-03 19:05:16,320.0,1.0,95.0,26.0,6.0,3.0,29.0,473.0,Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome...,8.0,19,True,2023-05-21 22:50:00.406,0.1.716,142.0,autoviml,,,,,25.0,23.0,https://pypi.org/project/autoviml,2022-06-01 23:08:15.000,2.0,1040.0,1040.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +776,rrcf,kLabUM/rrcf,others,,https://github.com/kLabUM/rrcf,https://github.com/kLabUM/rrcf,MIT,2018-10-20 05:39:05.000,2023-08-12 16:28:59.000000,2023-08-12 16:28:59,266.0,,104.0,20.0,56.0,27.0,20.0,461.0,Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams.,7.0,19,True,2023-04-30 02:25:49.592,0.4.4,8.0,rrcf,,,,,65.0,57.0,https://pypi.org/project/rrcf,2023-04-30 02:25:49.592,8.0,3158.0,3158.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +777,Sematch,gsi-upm/sematch,graph,,https://github.com/gsi-upm/sematch,https://github.com/gsi-upm/sematch,Apache-2.0,2012-11-30 11:11:53.000,2023-11-07 11:11:44.000000,2023-11-07 11:10:46,137.0,5.0,106.0,71.0,7.0,15.0,19.0,415.0,semantic similarity framework for knowledge graph.,10.0,19,True,2017-04-17 10:56:52.000,1.0.4,5.0,sematch,,,,,49.0,46.0,https://pypi.org/project/sematch,2017-04-17 10:56:52.000,3.0,314.0,314.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +778,fairness-indicators,tensorflow/fairness-indicators,interpretability,,https://github.com/tensorflow/fairness-indicators,https://github.com/tensorflow/fairness-indicators,Apache-2.0,2019-09-30 22:56:45.000,2023-11-13 20:22:49.000000,2023-08-16 21:27:14,316.0,,78.0,26.0,326.0,21.0,9.0,325.0,Tensorflows Fairness Evaluation and Visualization Toolkit.,33.0,19,True,2023-05-03 23:01:17.460,0.44.0,30.0,fairness-indicators,,,,"['tensorflow', 'jupyter']",,,https://pypi.org/project/fairness-indicators,2022-12-13 19:06:03.653,,1918.0,1918.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +779,Brainiak,brainiak/brainiak,medical-data,,https://github.com/brainiak/brainiak,https://github.com/brainiak/brainiak,Apache-2.0,2016-02-08 23:19:27.000,2023-11-27 22:57:29.000000,2023-11-27 22:11:53,398.0,5.0,128.0,34.0,322.0,81.0,129.0,317.0,Brain Imaging Analysis Kit.,35.0,19,True,2019-08-27 23:52:29.000,0.9.1,15.0,brainiak,,brainiak/brainiak,,,1.0,,https://pypi.org/project/brainiak,2020-10-15 20:45:08.000,1.0,131.0,150.0,,,,https://hub.docker.com/r/brainiak/brainiak,2020-10-15 21:11:03.379549,1.0,1792.0,3.0,,,,,,,,,,,,,,,,,,,, +780,textpipe,textpipe/textpipe,nlp,,https://github.com/textpipe/textpipe,https://github.com/textpipe/textpipe,MIT,2018-06-21 16:23:32.000,2021-06-09 11:55:53.000000,2021-06-09 11:55:53,371.0,,27.0,22.0,239.0,24.0,25.0,299.0,Textpipe: clean and extract metadata from text.,29.0,19,False,2021-01-25 14:05:21.000,0.12.2,39.0,textpipe,,,,,9.0,8.0,https://pypi.org/project/textpipe,2021-01-25 14:05:21.000,1.0,241.0,241.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +781,celer,mathurinm/celer,sklearn-utils,,https://github.com/mathurinm/celer,https://github.com/mathurinm/celer,BSD-3-Clause,2018-02-20 19:37:31.000,2023-07-26 15:59:24.000000,2023-07-21 09:03:49,260.0,,30.0,12.0,197.0,21.0,73.0,184.0,"Fast solver for L1-type problems: Lasso, sparse Logisitic regression, Group Lasso, weighted Lasso, Multitask Lasso, etc.",11.0,19,False,2023-07-26 15:36:39.000,0.7.3,15.0,celer,,,,['sklearn'],32.0,31.0,https://pypi.org/project/celer,2023-07-26 15:36:39.000,1.0,909.0,909.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +782,micrograd,karpathy/micrograd,pytorch-utils,,https://github.com/karpathy/micrograd,https://github.com/karpathy/micrograd,MIT,2020-04-13 04:31:18.000,2023-11-22 22:52:22.000000,2020-04-18 19:15:25,24.0,,847.0,128.0,37.0,28.0,8.0,6757.0,A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API.,2.0,18,False,2020-04-18 19:06:59.000,0.1.0,1.0,micrograd,,,,['pytorch'],35.0,33.0,https://pypi.org/project/micrograd,2020-04-18 19:06:59.000,2.0,553.0,553.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +783,SerpentAI,SerpentAI/SerpentAI,reinforcement-learning,,https://github.com/SerpentAI/SerpentAI,https://github.com/SerpentAI/SerpentAI,MIT,2017-04-16 21:48:39.000,2022-11-07 01:59:31.000000,2020-05-22 22:34:09,250.0,,765.0,337.0,58.0,2.0,,6620.0,Game Agent Framework. Helping you create AIs / Bots that learn to play any game you own!.,7.0,18,False,2018-02-17 00:12:46.000,2018.1.2,18.0,SerpentAI,,,,,,,https://pypi.org/project/SerpentAI,2018-02-17 00:12:46.000,,64.0,71.0,,,,,,,,3.0,316.0,,,,,,,,,,,,,,,,,,, +784,mesh-transformer-jax,kingoflolz/mesh-transformer-jax,distributed-ml,,https://github.com/kingoflolz/mesh-transformer-jax,https://github.com/kingoflolz/mesh-transformer-jax,Apache-2.0,2021-03-13 23:31:13.000,2023-01-21 00:09:29.000000,2023-01-12 19:54:10,143.0,,875.0,109.0,51.0,45.0,159.0,6152.0,Model parallel transformers in JAX and Haiku.,23.0,18,True,,,,,,,,['jax'],20.0,20.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +785,Spotlight,maciejkula/spotlight,recommender-systems,,https://github.com/maciejkula/spotlight,https://github.com/maciejkula/spotlight,MIT,2017-06-25 18:52:19.000,2023-06-16 13:22:46.522000,2020-02-09 21:03:48,299.0,,415.0,108.0,83.0,67.0,48.0,2919.0,Deep recommender models using PyTorch.,11.0,18,False,2019-09-08 10:19:53.000,0.1.6,7.0,,maciejkula/spotlight,,,['pytorch'],,,,,,,109.0,https://anaconda.org/maciejkula/spotlight,2023-06-16 13:22:46.522,8538.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +786,scenic,google-research/scenic,image,,https://github.com/google-research/scenic,https://github.com/google-research/scenic,Apache-2.0,2021-07-12 14:27:08.000,2023-11-15 17:32:00.000000,2023-11-15 17:31:54,640.0,37.0,353.0,37.0,758.0,149.0,106.0,2649.0,Scenic: A Jax Library for Computer Vision Research and Beyond.,74.0,18,True,,,,,,,,['jax'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +787,NeuroNER,Franck-Dernoncourt/NeuroNER,nlp,,https://github.com/Franck-Dernoncourt/NeuroNER,https://github.com/Franck-Dernoncourt/NeuroNER,MIT,2017-03-07 01:24:15.000,2023-03-24 22:29:09.000000,2019-10-02 23:26:11,132.0,,462.0,81.0,36.0,83.0,68.0,1673.0,Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.,7.0,18,False,2019-10-02 23:30:15.000,1.0.8,7.0,pyneuroner,,,,,,,https://pypi.org/project/pyneuroner,2019-10-02 23:30:15.000,,268.0,268.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +788,keepsake,replicate/keepsake,ml-experiments,,https://github.com/replicate/keepsake,https://github.com/replicate/keepsake,Apache-2.0,2020-07-01 04:37:44.000,2023-03-03 23:59:33.000000,2022-05-24 23:48:09,791.0,,71.0,24.0,1004.0,127.0,65.0,1635.0,Version control for machine learning.,17.0,18,False,2021-03-11 21:15:01.000,0.4.2,7.0,keepsake,,,,,1.0,,https://pypi.org/project/keepsake,2021-01-25 21:51:16.000,1.0,661.0,661.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +789,AdvBox,advboxes/AdvBox,adversarial,,https://github.com/advboxes/AdvBox,https://github.com/advboxes/AdvBox,Apache-2.0,2018-08-08 08:55:41.000,2023-02-15 19:57:27.000000,2022-08-08 02:56:23,378.0,,249.0,57.0,65.0,8.0,31.0,1349.0,Advbox is a toolbox to generate adversarial examples that fool neural networks in..,19.0,18,False,2018-12-05 02:48:50.000,0.4.1,2.0,advbox,,,,,2.0,2.0,https://pypi.org/project/advbox,2018-12-05 02:48:50.000,,90.0,90.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +790,robustness,MadryLab/robustness,adversarial,,https://github.com/MadryLab/robustness,https://github.com/MadryLab/robustness,MIT,2019-08-21 09:26:33.000,2023-06-16 19:21:11.893000,2022-02-14 20:43:06,145.0,,162.0,18.0,41.0,21.0,59.0,850.0,"A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.",13.0,18,False,2020-12-01 06:11:12.000,1.2.1.post2,10.0,robustness,conda-forge/robustness,,,,162.0,159.0,https://pypi.org/project/robustness,2020-12-01 06:21:33.000,3.0,348.0,545.0,https://anaconda.org/conda-forge/robustness,2023-06-16 19:21:11.893,7897.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +791,LOFO,aerdem4/lofo-importance,interpretability,,https://github.com/aerdem4/lofo-importance,https://github.com/aerdem4/lofo-importance,MIT,2019-01-14 10:46:46.000,2023-11-09 14:29:50.000000,2023-04-14 10:59:37,29.0,,79.0,15.0,32.0,6.0,22.0,786.0,Leave One Feature Out Importance.,5.0,18,True,2023-04-15 05:47:00.405,0.3.3,13.0,lofo-importance,,,,,29.0,27.0,https://pypi.org/project/lofo-importance,2022-04-27 12:56:30.000,2.0,902.0,902.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +792,tffm,geffy/tffm,tensorflow-utils,,https://github.com/geffy/tffm,https://github.com/geffy/tffm,MIT,2016-05-02 17:06:07.000,2022-01-17 20:39:04.000000,2022-01-17 20:38:58,107.0,,188.0,33.0,15.0,18.0,22.0,785.0,TensorFlow implementation of an arbitrary order Factorization Machine.,11.0,18,False,2022-01-17 20:35:57.000,1.0.2,3.0,tffm,,,,['tensorflow'],14.0,13.0,https://pypi.org/project/tffm,2022-01-17 20:35:57.000,1.0,46.0,46.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +793,Caer,jasmcaus/caer,image,,https://github.com/jasmcaus/caer,https://github.com/jasmcaus/caer,MIT,2020-08-06 18:36:14.000,2023-10-13 12:16:35.000000,2023-04-01 08:26:45,5080.0,,111.0,19.0,58.0,2.0,13.0,726.0,"A lightweight Computer Vision library. Scale your models, not boilerplate.",8.0,18,True,2021-10-13 21:04:12.000,2.0.8,119.0,caer,,,https://caer.rtfd.io,,2.0,,https://pypi.org/project/caer,2021-10-13 21:04:12.000,2.0,2691.0,2691.0,,,,,,,,3.0,28.0,,,,,,,,,,,,,,,,,,, +794,opytimizer,gugarosa/opytimizer,hyperopt,,https://github.com/gugarosa/opytimizer,https://github.com/gugarosa/opytimizer,Apache-2.0,2017-11-01 16:04:01.000,2023-09-22 14:57:35.000000,2023-09-22 14:57:01,815.0,4.0,38.0,15.0,17.0,,20.0,581.0,Opytimizer is a Python library consisting of meta-heuristic optimization algorithms.,4.0,18,True,2023-09-22 14:58:06.000,3.1.3,27.0,opytimizer,,,,,16.0,16.0,https://pypi.org/project/opytimizer,2022-05-04 20:51:15.000,,308.0,308.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +795,Auto Tune Models,HDI-Project/ATM,hyperopt,,https://github.com/HDI-Project/ATM,https://github.com/HDI-Project/ATM,MIT,2016-10-14 18:03:00.000,2020-02-21 17:44:07.000000,2020-02-21 17:40:58,775.0,,137.0,58.0,72.0,18.0,71.0,523.0,"Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).",16.0,18,False,2019-07-30 09:28:26.000,0.2.2,14.0,atm,,,,,18.0,18.0,https://pypi.org/project/atm,2019-07-30 09:25:11.000,,123.0,123.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +796,shap-hypetune,cerlymarco/shap-hypetune,hyperopt,,https://github.com/cerlymarco/shap-hypetune,https://github.com/cerlymarco/shap-hypetune,MIT,2021-05-16 09:30:03.000,2023-10-25 00:20:13.000000,2022-08-24 08:31:37,29.0,,63.0,6.0,5.0,2.0,26.0,503.0,A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.,2.0,18,False,2022-08-24 08:33:07.000,0.2.6,9.0,shap-hypetune,,,,,16.0,15.0,https://pypi.org/project/shap-hypetune,2022-08-24 08:33:00.976,1.0,3927.0,3927.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +797,scikit-tda,scikit-tda/scikit-tda,sklearn-utils,,https://github.com/scikit-tda/scikit-tda,https://github.com/scikit-tda/scikit-tda,MIT,2018-04-13 21:00:31.000,2022-03-13 16:33:15.000000,2022-03-13 16:33:15,64.0,,49.0,18.0,7.0,16.0,4.0,462.0,Topological Data Analysis for Python.,4.0,18,False,2021-08-03 00:23:20.000,1.0.0,4.0,scikit-tda,,,,['sklearn'],48.0,48.0,https://pypi.org/project/scikit-tda,2021-08-03 00:23:20.000,,5461.0,5461.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +798,Case Recommender,caserec/CaseRecommender,recommender-systems,,https://github.com/caserec/CaseRecommender,https://github.com/caserec/CaseRecommender,MIT,2015-11-12 18:25:39.000,2021-11-25 23:19:05.000000,2021-11-25 23:08:43,204.0,,88.0,24.0,18.0,7.0,20.0,451.0,Case Recommender: A Flexible and Extensible Python Framework for Recommender Systems.,11.0,18,False,2021-11-25 23:19:05.000,1.1.1,42.0,caserecommender,,,,['sklearn'],12.0,12.0,https://pypi.org/project/caserecommender,2021-11-25 23:19:05.000,,182.0,182.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +799,animatplot,t-makaro/animatplot,data-viz,,https://github.com/t-makaro/animatplot,https://github.com/t-makaro/animatplot,MIT,2017-04-03 00:54:04.000,2023-06-16 16:14:07.121000,2020-10-05 06:14:18,178.0,,39.0,11.0,29.0,17.0,17.0,402.0,A python package for animating plots build on matplotlib.,7.0,18,False,2020-10-05 06:20:52.000,0.4.2,10.0,animatplot,conda-forge/animatplot,,,,59.0,56.0,https://pypi.org/project/animatplot,2020-10-05 06:20:52.000,3.0,340.0,559.0,https://anaconda.org/conda-forge/animatplot,2023-06-16 16:14:07.121,12730.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +800,Camphr,PKSHATechnology-Research/camphr,nlp,,https://github.com/PKSHATechnology-Research/camphr,https://github.com/PKSHATechnology-Research/camphr,Apache-2.0,2020-02-10 03:39:58.000,2023-03-07 22:10:10.175000,2021-08-18 06:06:51,1404.0,,17.0,6.0,217.0,4.0,26.0,340.0,Camphr - NLP libary for creating pipeline components.,8.0,18,False,2023-03-07 22:10:10.175,0.8.9,49.0,camphr,,,,['spacy'],15.0,13.0,https://pypi.org/project/camphr,2023-03-07 22:10:10.175,2.0,283.0,283.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +801,Sherpa,sherpa-ai/sherpa,hyperopt,,https://github.com/sherpa-ai/sherpa,https://github.com/sherpa-ai/sherpa,GPL-3.0,2018-05-16 21:41:54.000,2020-10-18 07:57:50.000000,2020-10-18 07:57:48,823.0,,51.0,11.0,60.0,17.0,41.0,324.0,"Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.",43.0,18,False,2020-07-31 05:29:09.000,1.0.7,8.0,parameter-sherpa,,,,,37.0,33.0,https://pypi.org/project/parameter-sherpa,2019-11-23 21:32:27.000,4.0,280.0,280.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +802,pandas-ml,pandas-ml/pandas-ml,others,,https://github.com/pandas-ml/pandas-ml,https://github.com/pandas-ml/pandas-ml,BSD-3-Clause,2015-02-21 03:14:04.000,2020-08-14 12:29:33.000000,2019-03-05 01:36:55,153.0,,72.0,19.0,93.0,25.0,18.0,308.0,"pandas, scikit-learn, xgboost and seaborn integration.",4.0,18,False,2019-03-05 01:36:12.000,0.6.1,9.0,pandas-ml,,,,"['sklearn', 'pandas']",11.0,,https://pypi.org/project/pandas-ml,2019-03-05 01:35:23.000,11.0,1956.0,1956.0,,,,,,,,3.0,8.0,,,,,,,,,,,,,,,,,,, +803,bluefog,Bluefog-Lib/bluefog,distributed-ml,,https://github.com/Bluefog-Lib/bluefog,https://github.com/Bluefog-Lib/bluefog,Apache-2.0,2019-12-03 05:27:21.000,2023-03-28 03:38:13.000000,2023-03-28 03:38:13,1094.0,,69.0,28.0,57.0,30.0,32.0,290.0,Distributed and decentralized training framework for PyTorch over graph.,9.0,18,False,2021-05-15 01:39:45.000,0.3.0,10.0,bluefog,,,,['pytorch'],3.0,3.0,https://pypi.org/project/bluefog,2021-05-15 01:39:45.000,,210.0,213.0,,,,,,,,3.0,147.0,,,,,,,,,,,,,,,,,,, +804,solt,Oulu-IMEDS/solt,image,,https://github.com/Oulu-IMEDS/solt,https://github.com/Oulu-IMEDS/solt,MIT,2018-08-02 15:09:05.000,2023-07-17 13:39:53.000000,2022-07-12 07:44:31,366.0,,19.0,6.0,31.0,20.0,39.0,259.0,Streaming over lightweight data transformations.,5.0,18,False,2020-03-10 14:09:31.000,0.1.9,18.0,solt,,,,,53.0,50.0,https://pypi.org/project/solt,2020-03-10 14:09:31.000,3.0,775.0,775.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +805,nvidia-ml-py3,nicolargo/nvidia-ml-py3,gpu-utilities,,https://github.com/nicolargo/nvidia-ml-py3,https://github.com/nicolargo/nvidia-ml-py3,BSD-3-Clause,2017-06-03 07:47:03.000,2023-07-28 07:11:13.000000,2019-03-06 20:41:09,5.0,,57.0,5.0,2.0,2.0,1.0,122.0,Python 3 Bindings for the NVIDIA Management Library.,2.0,18,False,2017-06-03 07:43:46.000,7.352.0,1.0,nvidia-ml-py3,anaconda/nvidia-ml,,,,8602.0,8416.0,https://pypi.org/project/nvidia-ml-py3,2017-06-03 07:43:46.000,186.0,337261.0,337297.0,https://anaconda.org/anaconda/nvidia-ml,2023-06-16 19:26:58.970,1045.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +806,DeepMind Lab,deepmind/lab,reinforcement-learning,,https://github.com/google-deepmind/lab,https://github.com/google-deepmind/lab,,2016-11-30 13:41:26.000,2023-01-04 15:38:37.000000,2023-01-04 15:19:06,509.0,,1383.0,471.0,21.0,59.0,166.0,6940.0,A customisable 3D platform for agent-based AI research.,9.0,17,False,2020-12-07 11:26:33.000,release-2020-12-07,8.0,,,,,,,,,,,,,,,,,,,,3.0,,,,google-deepmind/lab,,,,,,,,,,,,,,,, +807,Advisor,tobegit3hub/advisor,hyperopt,,https://github.com/tobegit3hub/advisor,https://github.com/tobegit3hub/advisor,Apache-2.0,2017-09-14 03:50:33.000,2019-11-11 07:09:57.869705,2019-11-11 06:59:31,165.0,,257.0,52.0,13.0,20.0,13.0,1529.0,Open-source implementation of Google Vizier for hyper parameters tuning.,11.0,17,False,2018-10-18 02:54:09.000,0.1.6,4.0,advisor,,tobegit3hub/advisor,,,,,https://pypi.org/project/advisor,2018-10-18 02:54:09.000,,89.0,111.0,,,,https://hub.docker.com/r/tobegit3hub/advisor,2019-11-11 07:09:57.869705,,1683.0,3.0,,,,,,,,,,,,,,,,,,,, +808,Tez,abhishekkrthakur/tez,pytorch-utils,,https://github.com/abhishekkrthakur/tez,https://github.com/abhishekkrthakur/tez,Apache-2.0,2020-11-13 10:19:22.000,2023-01-29 16:52:18.000000,2022-09-16 11:03:31,144.0,,143.0,18.0,11.0,25.0,18.0,1153.0,Tez is a super-simple and lightweight Trainer for PyTorch. It also comes with many utils that you can use to tackle..,2.0,17,False,2022-09-20 02:28:33.973,0.7.2,26.0,tez,,,,['pytorch'],49.0,47.0,https://pypi.org/project/tez,2022-09-20 02:28:33.973,2.0,273.0,273.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +809,Torch-Struct,harvardnlp/pytorch-struct,pytorch-utils,,https://github.com/harvardnlp/pytorch-struct,https://github.com/harvardnlp/pytorch-struct,MIT,2019-08-26 19:34:30.000,2022-04-20 08:21:20.000000,2022-01-30 19:49:08,271.0,,87.0,35.0,72.0,25.0,30.0,1091.0,"Fast, general, and tested differentiable structured prediction in PyTorch.",16.0,17,False,2021-02-15 20:20:59.000,0.5,2.0,torch-struct,,,,['pytorch'],,,https://pypi.org/project/torch-struct,2021-02-14 02:43:46.000,,4175.0,4175.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +810,Fiber,uber/fiber,distributed-ml,,https://github.com/uber/fiber,https://github.com/uber/fiber,Apache-2.0,2020-01-07 18:16:24.000,2023-03-19 22:55:22.000000,2021-03-15 07:00:08,66.0,,112.0,21.0,37.0,20.0,8.0,1038.0,Distributed Computing for AI Made Simple.,5.0,17,False,2020-07-09 03:28:28.000,0.2.1,6.0,fiber,,,,,66.0,65.0,https://pypi.org/project/fiber,2020-07-09 03:28:28.000,1.0,57.0,57.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +811,XAI,EthicalML/xai,interpretability,,https://github.com/EthicalML/xai,https://github.com/EthicalML/xai,MIT,2019-01-11 20:00:09.000,2021-10-30 06:35:19.000000,2021-10-30 06:30:12,91.0,,145.0,45.0,5.0,3.0,7.0,962.0,XAI - An eXplainability toolbox for machine learning.,3.0,17,False,2021-10-30 06:35:19.000,0.1.0,6.0,xai,,,,,29.0,23.0,https://pypi.org/project/xai,2021-10-30 06:33:26.000,6.0,173.0,173.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +812,Tensor Sensor,parrt/tensor-sensor,pytorch-utils,,https://github.com/parrt/tensor-sensor,https://github.com/parrt/tensor-sensor,MIT,2020-08-28 22:54:04.000,2023-06-16 19:27:38.210000,2022-04-07 20:49:56,235.0,,36.0,13.0,13.0,8.0,16.0,743.0,"The goal of this library is to generate more helpful exception messages for matrix algebra expressions for numpy,..",4.0,17,False,2021-12-11 21:24:11.000,1.0,37.0,tensor-sensor,conda-forge/tensor-sensor,,,['pytorch'],27.0,27.0,https://pypi.org/project/tensor-sensor,2021-12-11 21:24:35.000,,2639.0,2745.0,https://anaconda.org/conda-forge/tensor-sensor,2023-06-16 19:27:38.210,2769.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +813,nboost,koursaros-ai/nboost,nlp,,https://github.com/koursaros-ai/nboost,https://github.com/koursaros-ai/nboost,Apache-2.0,2019-10-29 20:56:24.000,2020-09-30 14:51:16.000000,2020-07-16 19:48:25,1336.0,,65.0,18.0,21.0,29.0,50.0,671.0,"NBoost is a scalable, search-api-boosting platform for deploying transformer models to improve the relevance of search..",10.0,17,False,2020-06-12 20:05:15.000,0.3.9,26.0,nboost,,,,,3.0,3.0,https://pypi.org/project/nboost,2020-06-12 20:05:15.000,,70.0,70.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +814,elegy,poets-ai/elegy,ml-frameworks,,https://github.com/poets-ai/elegy,https://github.com/poets-ai/elegy,MIT,2020-06-30 14:00:37.000,2022-12-15 19:23:10.000000,2022-05-23 17:26:29,339.0,,30.0,16.0,148.0,39.0,66.0,455.0,A High Level API for Deep Learning in JAX.,18.0,17,False,2022-03-23 21:51:07.000,0.8.6,33.0,elegy,,,,"['tensorflow', 'jax']",42.0,42.0,https://pypi.org/project/elegy,2022-04-22 15:42:03.000,,110.0,110.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +815,sklearn-evaluation,edublancas/sklearn-evaluation,interpretability,,https://github.com/edublancas/sklearn-evaluation,https://github.com/edublancas/sklearn-evaluation,MIT,2023-01-15 21:18:52.000,2023-01-15 22:50:39.000000,2023-01-13 21:57:34,832.0,,41.0,,,,,359.0,"Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook..",19.0,17,True,2023-03-23 17:16:00.413,0.12.0,48.0,sklearn-evaluation,,,,['sklearn'],5.0,,https://pypi.org/project/sklearn-evaluation,2020-12-28 15:13:44.000,5.0,1614.0,1614.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +816,datmo,datmo/datmo,ml-experiments,,https://github.com/datmo/datmo,https://github.com/datmo/datmo,MIT,2017-11-03 05:46:43.000,2022-06-21 21:41:58.000000,2019-11-29 00:48:44,1051.0,,29.0,11.0,121.0,31.0,150.0,344.0,Open source production model management tool for data scientists.,6.0,17,False,2018-12-07 06:16:42.000,0.0.40,41.0,datmo,,,,,5.0,5.0,https://pypi.org/project/datmo,2018-12-07 06:16:42.000,,63.0,63.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +817,tsflex,predict-idlab/tsflex,time-series-data,,https://github.com/predict-idlab/tsflex,https://github.com/predict-idlab/tsflex,MIT,2021-07-06 15:16:45.577,2023-10-26 04:10:03.000000,2023-10-04 14:18:48,810.0,1.0,22.0,7.0,68.0,27.0,18.0,335.0,Flexible time series feature extraction & processing.,6.0,17,True,2023-02-23 13:56:43.000,0.3.0,36.0,tsflex,conda-forge/tsflex,,,,10.0,10.0,https://pypi.org/project/tsflex,2022-10-11 21:38:11.312,,268.0,947.0,https://anaconda.org/conda-forge/tsflex,2023-06-16 19:26:46.251,19693.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +818,pymdp,infer-actively/pymdp,others,,https://github.com/infer-actively/pymdp,https://github.com/infer-actively/pymdp,MIT,2019-11-27 19:03:35.000,2023-12-06 15:31:52.000000,2023-08-19 12:43:22,678.0,,54.0,30.0,76.0,12.0,25.0,334.0,A Python implementation of active inference for Markov Decision Processes.,14.0,17,True,2023-03-25 17:58:52.000,0.0.7.1,8.0,inferactively-pymdp,,,,,8.0,8.0,https://pypi.org/project/inferactively-pymdp,2022-12-08 15:25:01.498,,121.0,121.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +819,data-describe,data-describe/data-describe,data-viz,,https://github.com/data-describe/data-describe,https://github.com/data-describe/data-describe,Apache-2.0,2020-05-04 17:58:14.000,2023-02-22 05:20:46.000000,2021-11-19 06:05:15,700.0,,18.0,13.0,271.0,70.0,175.0,294.0,datadescribe: Pythonic EDA Accelerator for Data Science.,13.0,17,False,,,5.0,data-describe,,,,,,,https://pypi.org/project/data-describe,2020-12-03 23:07:43.000,,8434.0,8434.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +820,DeepGraph,deepgraph/deepgraph,graph,,https://github.com/deepgraph/deepgraph,https://github.com/deepgraph/deepgraph,BSD-3-Clause,2015-10-27 12:28:45.000,2023-10-03 23:52:47.440000,2023-07-17 09:18:00,166.0,,39.0,19.0,2.0,10.0,7.0,278.0,Analyze Data with Pandas-based Networks. Documentation:.,2.0,17,False,2020-10-01 13:20:38.000,0.2.3,13.0,deepgraph,conda-forge/deepgraph,,,['pandas'],8.0,8.0,https://pypi.org/project/deepgraph,2020-10-01 13:18:38.000,,324.0,4845.0,https://anaconda.org/conda-forge/deepgraph,2023-10-03 23:52:47.440,171808.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +821,skggm,skggm/skggm,sklearn-utils,,https://github.com/skggm/skggm,https://github.com/skggm/skggm,MIT,2016-06-11 18:35:56.000,2023-06-15 16:53:56.000000,2023-06-15 16:53:55,703.0,,42.0,11.0,59.0,31.0,47.0,230.0,Scikit-learn compatible estimation of general graphical models.,7.0,17,False,2018-09-12 01:12:49.000,0.2.8,6.0,skggm,,,,['sklearn'],15.0,12.0,https://pypi.org/project/skggm,2018-09-12 01:12:49.000,3.0,66.0,66.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +822,Muda,bmcfee/muda,audio,,https://github.com/bmcfee/muda,https://github.com/bmcfee/muda,ISC,2014-11-07 21:21:22.000,2021-12-15 16:53:25.527000,2021-05-03 14:04:36,293.0,,33.0,14.0,36.0,8.0,44.0,222.0,A library for augmenting annotated audio data.,7.0,17,False,2019-11-15 15:46:21.000,0.4.1,12.0,muda,,,,,24.0,22.0,https://pypi.org/project/muda,2019-11-15 15:46:21.000,2.0,66.0,66.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +823,modelkit,Cornerstone-OnDemand/modelkit,model-serialisation,,https://github.com/Cornerstone-OnDemand/modelkit,https://github.com/Cornerstone-OnDemand/modelkit,MIT,2021-05-14 12:10:51.000,2023-12-04 09:52:11.000000,2023-12-04 09:45:11,841.0,21.0,17.0,8.0,174.0,13.0,20.0,148.0,Toolkit for developing and maintaining ML models.,14.0,17,False,2023-11-29 09:25:12.000,0.0.31,32.0,modelkit,,,,,,,https://pypi.org/project/modelkit,2023-12-04 09:52:06.000,,3051.0,3051.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +824,Collie,ShopRunner/collie,recommender-systems,,https://github.com/ShopRunner/collie,https://github.com/ShopRunner/collie,BSD-3-Clause,2021-04-12 20:54:06.000,2023-10-25 21:33:40.000000,2023-03-31 15:44:32,231.0,,20.0,28.0,52.0,7.0,7.0,100.0,"A library for preparing, training, and evaluating scalable deep learning hybrid recommender systems using PyTorch.",15.0,17,False,2023-03-31 16:09:03.477,1.3.1,10.0,collie,,,,['pytorch'],37.0,37.0,https://pypi.org/project/collie,2022-01-18 23:07:16.000,,150.0,150.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +825,OpenNRE,thunlp/OpenNRE,nlp,,https://github.com/thunlp/OpenNRE,https://github.com/thunlp/OpenNRE,MIT,2017-02-26 07:37:12.000,2023-07-06 21:55:15.000000,2023-01-03 11:24:22,166.0,,1028.0,119.0,24.0,11.0,352.0,4143.0,An Open-Source Package for Neural Relation Extraction (NRE).,12.0,16,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +826,StarSpace,facebookresearch/StarSpace,ml-frameworks,,https://github.com/facebookresearch/StarSpace,https://github.com/facebookresearch/StarSpace,MIT,2017-06-28 17:50:18.000,2022-12-04 04:02:21.000000,2019-12-13 19:03:25,138.0,,539.0,178.0,110.0,54.0,149.0,3896.0,"Learning embeddings for classification, retrieval and ranking.",17.0,16,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +827,OpenKE,thunlp/OpenKE,graph,,https://github.com/thunlp/OpenKE,https://github.com/thunlp/OpenKE,MIT,2017-10-08 11:20:23.000,2023-11-17 15:48:24.000000,2022-11-03 07:32:51,114.0,,955.0,100.0,28.0,21.0,355.0,3596.0,An Open-Source Package for Knowledge Embedding (KE).,11.0,16,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +828,GraphEmbedding,shenweichen/GraphEmbedding,graph,,https://github.com/shenweichen/GraphEmbedding,https://github.com/shenweichen/GraphEmbedding,MIT,2019-02-11 16:27:20.000,2022-06-22 11:47:45.000000,2022-06-21 18:24:09,30.0,,1012.0,62.0,12.0,43.0,25.0,3482.0,Implementation and experiments of graph embedding algorithms.,9.0,16,False,,,,,,,,['sklearn'],30.0,30.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +829,automl-gs,minimaxir/automl-gs,hyperopt,,https://github.com/minimaxir/automl-gs,https://github.com/minimaxir/automl-gs,MIT,2019-01-13 18:57:44.000,2019-10-22 11:20:40.000000,2019-04-05 06:48:14,102.0,,167.0,61.0,10.0,26.0,6.0,1838.0,"Provide an input CSV and a target field to predict, generate a model + code to run it.",7.0,16,False,2019-04-05 06:51:04.000,0.2.1,2.0,automl_gs,,,,,,,https://pypi.org/project/automl_gs,2019-04-05 06:47:54.000,,46.0,46.0,,,,,,,,3.0,41.0,,,,,,,,,,,,,,,,,,, +830,Xcessiv,reiinakano/xcessiv,hyperopt,,https://github.com/reiinakano/xcessiv,https://github.com/reiinakano/xcessiv,Apache-2.0,2017-03-07 18:18:25.000,2018-06-06 22:23:37.000000,2017-08-21 00:51:15,316.0,,109.0,57.0,34.0,22.0,13.0,1266.0,"A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.",6.0,16,False,2017-08-21 00:53:25.000,0.5.1,34.0,xcessiv,,,,,2.0,1.0,https://pypi.org/project/xcessiv,2017-08-21 00:49:41.000,1.0,25.0,25.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +831,TextBox,RUCAIBox/TextBox,nlp,,https://github.com/RUCAIBox/TextBox,https://github.com/RUCAIBox/TextBox,MIT,2020-11-08 07:35:46.000,2023-07-27 14:39:30.000000,2023-05-18 02:26:52,1358.0,,116.0,18.0,295.0,3.0,67.0,1034.0,TextBox 2.0 is a text generation library with pre-trained language models.,18.0,16,True,2022-12-28 02:06:22.000,2.0.0,10.0,textbox,,,,,5.0,5.0,https://pypi.org/project/textbox,2021-04-15 09:35:06.000,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +832,Translate,pytorch/translate,nlp,,https://github.com/pytorch/translate,https://github.com/pytorch/translate,BSD-3-Clause,2018-04-24 16:44:04.000,2023-04-27 20:56:00.000000,2022-06-10 23:04:56,813.0,,196.0,43.0,667.0,28.0,27.0,806.0,Translate - a PyTorch Language Library.,88.0,16,False,,,1.0,pytorch-translate,,,,['pytorch'],,,https://pypi.org/project/pytorch-translate,2018-05-01 19:59:40.000,,29.0,29.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +833,madgrad,facebookresearch/madgrad,pytorch-utils,,https://github.com/facebookresearch/madgrad,https://github.com/facebookresearch/madgrad,MIT,2021-01-12 19:41:06.000,2023-04-11 19:24:43.000000,2023-04-11 19:24:38,24.0,,56.0,18.0,7.0,1.0,10.0,791.0,MADGRAD Optimization Method.,2.0,16,True,,,4.0,madgrad,,,,['pytorch'],67.0,66.0,https://pypi.org/project/madgrad,2022-03-08 18:23:32.000,1.0,3555.0,3555.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +834,Anchor,marcotcr/anchor,interpretability,,https://github.com/marcotcr/anchor,https://github.com/marcotcr/anchor,BSD-2-Clause,2018-02-02 23:38:50.000,2022-07-19 18:09:12.000000,2022-07-19 18:08:39,47.0,,110.0,27.0,10.0,24.0,51.0,765.0,Code for High-Precision Model-Agnostic Explanations paper.,10.0,16,False,,,10.0,anchor_exp,,,,,2.0,,https://pypi.org/project/anchor_exp,2020-09-10 22:52:00.000,2.0,1271.0,1271.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +835,parallelformers,tunib-ai/parallelformers,distributed-ml,,https://github.com/tunib-ai/parallelformers,https://github.com/tunib-ai/parallelformers,Apache-2.0,2021-07-17 12:50:43.000,2023-04-24 11:42:30.000000,2022-07-27 19:55:38,93.0,,55.0,14.0,10.0,26.0,17.0,726.0,Parallelformers: An Efficient Model Parallelization Toolkit for Deployment.,5.0,16,False,2022-07-27 19:52:00.185,1.2.7,19.0,parallelformers,,,,,39.0,39.0,https://pypi.org/project/parallelformers,2022-07-27 19:52:00.185,,479.0,479.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +836,HyperparameterHunter,HunterMcGushion/hyperparameter_hunter,hyperopt,,https://github.com/HunterMcGushion/hyperparameter_hunter,https://github.com/HunterMcGushion/hyperparameter_hunter,MIT,2018-06-01 23:17:00.000,2021-01-20 03:52:41.000000,2021-01-20 03:52:40,1096.0,,100.0,25.0,101.0,37.0,84.0,702.0,Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries.,4.0,16,False,2021-02-16 11:34:12.211,3.0.0,16.0,hyperparameter-hunter,,,,,1.0,,https://pypi.org/project/hyperparameter-hunter,2018-06-14 02:21:57.000,1.0,66.0,72.0,,,,,,,,3.0,411.0,,,,,,,,,,,,,,,,,,, +837,cuSignal,rapidsai/cusignal,gpu-utilities,,https://github.com/rapidsai/cusignal,https://github.com/rapidsai/cusignal,Apache-2.0,2019-08-22 14:27:27.000,2023-09-21 18:53:21.000000,2023-09-21 18:53:18,1296.0,2.0,121.0,43.0,435.0,25.0,130.0,698.0,GPU accelerated signal processing.,46.0,16,True,2023-08-09 16:45:21.000,23.08.00,21.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +838,textflint,textflint/textflint,adversarial,,https://github.com/textflint/textflint,https://github.com/textflint/textflint,GPL-3.0,2021-03-06 11:15:52.000,2022-09-27 17:09:16.000000,2022-06-21 04:27:47,257.0,,93.0,18.0,19.0,3.0,29.0,620.0,Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing.,18.0,16,False,2022-03-15 07:18:47.000,0.1.0,6.0,textflint,,,,,12.0,12.0,https://pypi.org/project/textflint,2022-03-15 07:18:47.000,,144.0,144.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +839,kglib,vaticle/kglib,graph,,https://github.com/vaticle/typedb-ml,https://github.com/vaticle/typedb-ml,Apache-2.0,2018-09-16 16:46:48.000,2023-11-18 17:08:08.000000,2023-11-18 17:08:08,508.0,1.0,98.0,39.0,106.0,12.0,51.0,547.0,TypeDB-ML is the Machine Learning integrations library for TypeDB.,11.0,16,True,2022-07-29 11:37:34.000,0.3.0,8.0,grakn-kglib,,,,,,,https://pypi.org/project/grakn-kglib,2020-08-19 15:39:10.000,,100.0,103.0,,,,,,,,3.0,220.0,,,vaticle/typedb-ml,,,,,,,,,,,,,,,, +840,DESlib,scikit-learn-contrib/DESlib,sklearn-utils,,https://github.com/scikit-learn-contrib/DESlib,https://github.com/scikit-learn-contrib/DESlib,BSD-3-Clause,2017-12-08 22:49:49.000,2023-07-14 19:31:30.000000,2023-06-18 21:56:30,277.0,,75.0,14.0,126.0,15.0,136.0,454.0,A Python library for dynamic classifier and ensemble selection.,16.0,16,True,2021-02-08 06:29:25.000,0.3.5,4.0,deslib,,,,['sklearn'],2.0,,https://pypi.org/project/deslib,2021-02-08 06:29:25.000,2.0,1083.0,1083.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +841,NeuralCompression,facebookresearch/NeuralCompression,others,,https://github.com/facebookresearch/NeuralCompression,https://github.com/facebookresearch/NeuralCompression,MIT,2021-07-09 15:14:13.000,2023-11-08 16:07:40.000000,2023-11-08 16:07:36,135.0,7.0,40.0,18.0,164.0,3.0,63.0,415.0,A collection of tools for neural compression enthusiasts.,9.0,16,True,2023-10-03 14:26:28.000,0.3.1,6.0,neuralcompression,,,,,,,https://pypi.org/project/neuralcompression,2023-10-03 14:26:28.000,,144.0,144.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +842,OpenRec,ylongqi/openrec,recommender-systems,,https://github.com/ylongqi/openrec,https://github.com/ylongqi/openrec,Apache-2.0,2017-11-29 16:04:40.000,2023-03-24 23:54:19.000000,2020-02-19 07:57:17,213.0,,84.0,36.0,47.0,5.0,12.0,403.0,OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms.,11.0,16,False,2020-02-18 06:52:11.000,0.3.0,12.0,openrec,,,,,3.0,2.0,https://pypi.org/project/openrec,2020-02-18 06:52:11.000,1.0,57.0,57.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +843,tfdeploy,riga/tfdeploy,model-serialisation,,https://github.com/riga/tfdeploy,https://github.com/riga/tfdeploy,BSD-3-Clause,2016-03-07 13:08:21.000,2021-01-08 09:52:54.000000,2021-01-08 09:52:49,170.0,,38.0,21.0,5.0,11.0,23.0,351.0,Deploy tensorflow graphs for fast evaluation and export to tensorflow-less environments running numpy.,4.0,16,False,2017-03-30 10:51:26.000,0.4.2,22.0,tfdeploy,,,,['tensorflow'],2.0,,https://pypi.org/project/tfdeploy,2017-03-30 10:51:26.000,2.0,31.0,31.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +844,pdvega,altair-viz/pdvega,data-viz,,https://github.com/altair-viz/pdvega,https://github.com/altair-viz/pdvega,MIT,2018-01-11 21:30:27.000,2019-03-29 16:09:14.000000,2019-03-29 16:09:13,177.0,,33.0,24.0,21.0,17.0,10.0,344.0,Interactive plotting for Pandas using Vega-Lite.,9.0,16,False,,,1.0,pdvega,,,,,91.0,84.0,https://pypi.org/project/pdvega,2018-02-01 04:56:43.000,7.0,130.0,130.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +845,skift,shaypal5/skift,nlp,,https://github.com/shaypal5/skift,https://github.com/shaypal5/skift,MIT,2018-02-03 11:37:21.000,2022-06-07 15:07:07.000000,2022-06-07 15:07:04,141.0,,24.0,11.0,8.0,1.0,10.0,234.0,scikit-learn wrappers for Python fastText.,9.0,16,False,2022-02-14 13:45:54.000,0.0.23,18.0,skift,,,,['sklearn'],13.0,13.0,https://pypi.org/project/skift,2018-03-15 09:05:47.000,,214.0,214.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +846,chitra,gradsflow/chitra,ml-experiments,,https://github.com/aniketmaurya/chitra,https://github.com/aniketmaurya/chitra,Apache-2.0,2020-01-23 14:17:54.000,2023-12-06 19:59:05.000000,2023-12-06 19:59:05,370.0,1.0,38.0,6.0,131.0,,35.0,219.0,"A multi-functional library for full-stack Deep Learning. Simplifies Model Building, API development, and Model..",14.0,16,False,2021-11-26 17:10:22.000,0.2.0,38.0,chitra,conda-forge/chitra,,,,1.0,,https://pypi.org/project/chitra,2022-01-09 08:50:45.005,1.0,547.0,668.0,https://anaconda.org/conda-forge/chitra,2023-06-18 08:40:33.534,2799.0,,,,,3.0,,,,aniketmaurya/chitra,,,,,,,,,,,,,,,, +847,Parfit,jmcarpenter2/parfit,hyperopt,,https://github.com/jmcarpenter2/parfit,https://github.com/jmcarpenter2/parfit,MIT,2017-11-22 20:17:51.000,2020-04-04 19:26:44.000000,2020-04-04 19:26:37,127.0,,29.0,5.0,4.0,6.0,5.0,198.0,"A package for parallelizing the fit and flexibly scoring of sklearn machine learning models, with visualization..",4.0,16,False,,,23.0,parfit,,,,['sklearn'],26.0,26.0,https://pypi.org/project/parfit,2018-10-11 22:03:16.000,,4894.0,4894.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +848,Torch Points 3D,nicolas-chaulet/torch-points3d,image,,https://github.com/nicolas-chaulet/torch-points3d,https://github.com/nicolas-chaulet/torch-points3d,BSD-3-Clause,2022-01-09 14:41:37.000,2021-12-10 20:17:18.000000,2021-12-10 20:17:18,1788.0,,40.0,1.0,,,,169.0,Pytorch framework for doing deep learning on point clouds.,29.0,16,False,2021-04-30 09:00:22.000,1.3.0,14.0,torch-points3d,,,,['pytorch'],,,https://pypi.org/project/torch-points3d,2021-04-30 09:00:22.000,,767.0,767.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +849,steppy,minerva-ml/steppy,ml-experiments,,https://github.com/minerva-ml/steppy,https://github.com/minerva-ml/steppy,MIT,2018-01-15 09:40:49.000,2018-11-23 09:49:59.000000,2018-11-23 09:47:34,69.0,,32.0,14.0,54.0,16.0,50.0,135.0,"Lightweight, Python library for fast and reproducible experimentation.",7.0,16,False,2018-11-23 09:49:59.000,0.1.16,16.0,steppy,,,,,55.0,50.0,https://pypi.org/project/steppy,2018-11-23 09:49:59.000,5.0,56.0,56.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +850,Euler,alibaba/euler,graph,,https://github.com/alibaba/euler,https://github.com/alibaba/euler,Apache-2.0,2019-01-10 06:32:32.000,2023-08-19 12:30:48.000000,2020-07-29 05:53:01,8.0,,560.0,141.0,28.0,217.0,102.0,2864.0,A distributed graph deep learning framework.,5.0,15,False,2020-07-07 02:24:18.000,2.0.0,2.0,euler-gl,,,,['tensorflow'],,,https://pypi.org/project/euler-gl,2019-04-10 01:53:45.000,,5.0,5.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +851,ZhuSuan,thu-ml/zhusuan,probabilistics,,https://github.com/thu-ml/zhusuan,https://github.com/thu-ml/zhusuan,MIT,2016-07-18 13:31:38.000,2022-12-17 20:33:19.000000,2019-08-05 10:00:04,439.0,,423.0,143.0,72.0,12.0,53.0,2191.0,"A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow.",20.0,15,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +852,Medical Detection Toolkit,MIC-DKFZ/medicaldetectiontoolkit,medical-data,,https://github.com/MIC-DKFZ/medicaldetectiontoolkit,https://github.com/MIC-DKFZ/medicaldetectiontoolkit,Apache-2.0,2018-10-12 12:34:57.000,2023-10-04 00:38:12.000000,2022-04-04 08:29:54,41.0,,294.0,54.0,20.0,42.0,85.0,1241.0,"The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN,..",3.0,15,False,,,,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +853,AutoGL,THUMNLab/AutoGL,graph,,https://github.com/THUMNLab/AutoGL,https://github.com/THUMNLab/AutoGL,Apache-2.0,2020-11-30 14:26:22.000,2023-12-07 11:02:30.000000,2023-10-21 13:07:20,740.0,3.0,113.0,28.0,109.0,9.0,24.0,1030.0,An autoML framework & toolkit for machine learning on graphs.,15.0,15,True,2022-12-30 06:11:04.000,0.4.0,4.0,auto-graph-learning,,,,['pytorch'],,,https://pypi.org/project/auto-graph-learning,2020-12-23 08:05:25.000,,1.0,1.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +854,MedicalTorch,perone/medicaltorch,medical-data,,https://github.com/perone/medicaltorch,https://github.com/perone/medicaltorch,Apache-2.0,2018-02-27 02:50:07.000,2022-12-27 06:48:51.000000,2021-04-16 18:50:54,57.0,,121.0,50.0,21.0,15.0,9.0,823.0,A medical imaging framework for Pytorch.,8.0,15,False,2018-11-24 00:33:11.000,0.2,2.0,medicaltorch,,,,['pytorch'],14.0,14.0,https://pypi.org/project/medicaltorch,2018-11-24 00:29:36.000,,63.0,63.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +855,FlashTorch,MisaOgura/flashtorch,interpretability,,https://github.com/MisaOgura/flashtorch,https://github.com/MisaOgura/flashtorch,MIT,2019-03-22 13:00:57.000,2023-09-21 07:22:50.000000,2023-09-21 07:22:50,127.0,1.0,88.0,17.0,15.0,10.0,22.0,713.0,Visualization toolkit for neural networks in PyTorch! Demo --.,2.0,15,True,2020-05-29 14:39:38.000,0.1.3,12.0,flashtorch,,,,['pytorch'],15.0,15.0,https://pypi.org/project/flashtorch,2020-05-29 14:38:32.000,,253.0,253.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +856,ThunderGBM,Xtra-Computing/thundergbm,ml-frameworks,,https://github.com/Xtra-Computing/thundergbm,https://github.com/Xtra-Computing/thundergbm,Apache-2.0,2016-11-11 09:58:08.000,2023-09-26 02:55:16.000000,2023-09-26 02:55:09,610.0,2.0,87.0,25.0,4.0,36.0,42.0,680.0,ThunderGBM: Fast GBDTs and Random Forests on GPUs.,11.0,15,True,2022-09-19 20:15:07.376,0.3.17,25.0,thundergbm,,,,,2.0,2.0,https://pypi.org/project/thundergbm,2022-09-19 20:15:07.376,,78.0,78.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +857,SpeedTorch,Santosh-Gupta/SpeedTorch,gpu-utilities,,https://github.com/Santosh-Gupta/SpeedTorch,https://github.com/Santosh-Gupta/SpeedTorch,MIT,2019-09-07 18:57:52.000,2020-02-21 23:13:29.000000,2020-02-21 23:13:28,170.0,,39.0,26.0,4.0,4.0,2.0,668.0,Library for faster pinned CPU - GPU transfer in Pytorch.,3.0,15,False,2020-01-06 05:27:17.000,0.1.6,14.0,SpeedTorch,,,,['pytorch'],7.0,5.0,https://pypi.org/project/SpeedTorch,2020-01-06 05:27:17.000,2.0,64.0,64.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +858,KD-Lib,SforAiDl/KD_Lib,others,,https://github.com/SforAiDl/KD_Lib,https://github.com/SforAiDl/KD_Lib,MIT,2020-05-10 13:08:42.000,2023-03-01 21:06:37.000000,2023-03-01 21:03:09,298.0,,50.0,17.0,83.0,18.0,49.0,553.0,A Pytorch Knowledge Distillation library for benchmarking and extending works in the domains of Knowledge..,6.0,15,True,2022-05-18 08:35:04.000,0.0.32,8.0,KD-Lib,,,,['pytorch'],,,https://pypi.org/project/KD-Lib,2022-05-18 08:35:04.000,,67.0,67.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +859,atspy,firmai/atspy,time-series-data,,https://github.com/firmai/atspy,https://github.com/firmai/atspy,MIT,2020-01-28 05:00:10.000,2022-11-21 21:55:23.000000,2021-12-18 09:26:18,99.0,,87.0,21.0,18.0,22.0,2.0,496.0,AtsPy: Automated Time Series Models in Python (by @firmai).,5.0,15,False,2020-11-12 16:10:48.000,zen,39.0,atspy,,,,,10.0,10.0,https://pypi.org/project/atspy,2020-04-24 18:16:15.000,,256.0,256.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +860,caliban,google/caliban,ml-experiments,,https://github.com/google/caliban,https://github.com/google/caliban,Apache-2.0,2020-06-02 18:12:50.000,2023-11-16 21:25:57.000000,2023-10-11 20:12:03,257.0,1.0,69.0,23.0,88.0,19.0,15.0,492.0,"Research workflows made easy, locally and in the Cloud.",10.0,15,True,2023-06-16 17:26:21.434,0.4.2,11.0,caliban,,,,,1.0,1.0,https://pypi.org/project/caliban,2020-09-12 19:41:23.000,,106.0,106.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +861,VizSeq,facebookresearch/vizseq,nlp,,https://github.com/facebookresearch/vizseq,https://github.com/facebookresearch/vizseq,MIT,2019-08-26 13:19:38.000,2023-10-27 15:32:18.000000,2023-10-27 15:32:10,74.0,3.0,57.0,17.0,60.0,7.0,9.0,436.0,"An Analysis Toolkit for Natural Language Generation (Translation, Captioning, Summarization, etc.).",3.0,15,True,2020-08-07 01:13:52.000,0.1.15,16.0,vizseq,,,,,9.0,9.0,https://pypi.org/project/vizseq,2020-08-07 01:13:52.000,,78.0,78.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +862,Pywick,achaiah/pywick,pytorch-utils,,https://github.com/achaiah/pywick,https://github.com/achaiah/pywick,MIT,2019-03-25 15:42:47.000,2022-02-04 15:57:11.000000,2021-10-22 03:09:17,149.0,,38.0,16.0,39.0,2.0,13.0,396.0,High-level batteries-included neural network training library for Pytorch.,4.0,15,False,2021-10-22 03:19:11.000,0.6.5,8.0,pywick,,,,['pytorch'],9.0,9.0,https://pypi.org/project/pywick,2021-10-22 03:19:11.000,,131.0,131.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +863,ExplainX.ai,explainX/explainx,interpretability,,https://github.com/explainX/explainx,https://github.com/explainX/explainx,MIT,2020-06-16 14:27:15.000,2023-07-06 22:00:59.000000,2022-09-15 18:52:06,185.0,,49.0,10.0,14.0,12.0,17.0,372.0,Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line..,4.0,15,False,2021-02-07 11:06:21.000,2.407,56.0,explainx,,,,,,,https://pypi.org/project/explainx,2021-02-04 16:44:24.000,,1281.0,1281.0,,,,,,,,3.0,12.0,,,,,,,,,,,,,,,,,,, +864,ptgnn,microsoft/ptgnn,graph,,https://github.com/microsoft/ptgnn,https://github.com/microsoft/ptgnn,MIT,2020-05-12 08:42:30.000,2022-02-01 17:31:29.000000,2022-02-01 17:31:29,99.0,,40.0,12.0,17.0,2.0,5.0,371.0,A PyTorch Graph Neural Network Library.,8.0,15,False,2021-10-21 21:43:04.000,0.10.4,18.0,ptgnn,,,,['pytorch'],3.0,3.0,https://pypi.org/project/ptgnn,2021-10-21 21:43:04.000,,301.0,301.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +865,nx-altair,Zsailer/nx_altair,data-viz,,https://github.com/Zsailer/nx_altair,https://github.com/Zsailer/nx_altair,MIT,2018-05-13 00:10:12.000,2023-09-27 23:13:07.000000,2020-06-02 21:10:26,51.0,,27.0,11.0,15.0,6.0,4.0,217.0,Draw interactive NetworkX graphs with Altair.,3.0,15,False,2020-06-02 21:11:12.000,0.1.6,8.0,nx-altair,,,,['jupyter'],6.0,,https://pypi.org/project/nx-altair,2020-06-02 21:11:12.000,6.0,632.0,632.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +866,HugsVision,qanastek/HugsVision,image,,https://github.com/qanastek/HugsVision,https://github.com/qanastek/HugsVision,MIT,2021-08-12 21:46:08.000,2023-08-13 00:37:26.000000,2023-01-22 01:25:39,75.0,,19.0,5.0,2.0,16.0,23.0,185.0,HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision.,2.0,15,False,2023-01-22 01:21:35.467,0.75.5,78.0,hugsvision,,,,['huggingface'],11.0,11.0,https://pypi.org/project/hugsvision,2023-01-22 01:21:35.467,,371.0,371.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +867,ipyexperiments,stas00/ipyexperiments,gpu-utilities,,https://github.com/stas00/ipyexperiments,https://github.com/stas00/ipyexperiments,Apache-2.0,2018-11-15 01:19:40.000,2021-12-07 18:50:39.000000,2021-12-07 18:50:38,203.0,,11.0,7.0,2.0,1.0,5.0,165.0,jupyter/ipython experiment containers for GPU and general RAM re-use.,3.0,15,False,2021-12-07 18:44:34.000,0.1.28,24.0,ipyexperiments,,,,['jupyter'],10.0,8.0,https://pypi.org/project/ipyexperiments,2021-12-07 18:44:34.000,2.0,88.0,88.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +868,GraphSAGE,williamleif/GraphSAGE,graph,,https://github.com/williamleif/GraphSAGE,https://github.com/williamleif/GraphSAGE,MIT,2017-05-29 15:36:22.000,2022-11-21 22:24:51.000000,2018-09-19 19:27:00,59.0,,818.0,77.0,34.0,116.0,59.0,3209.0,Representation learning on large graphs using stochastic graph convolutions.,9.0,14,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +869,OpenNE,thunlp/OpenNE,graph,,https://github.com/thunlp/OpenNE,https://github.com/thunlp/OpenNE,MIT,2017-10-08 04:58:20.000,2023-07-06 21:16:22.000000,2022-11-02 02:28:59,99.0,,483.0,67.0,26.0,5.0,97.0,1662.0,An Open-Source Package for Network Embedding (NE).,11.0,14,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +870,BLINK,facebookresearch/BLINK,nlp,,https://github.com/facebookresearch/BLINK,https://github.com/facebookresearch/BLINK,MIT,2019-09-25 21:27:44.000,2023-09-21 16:18:30.000000,2021-04-02 03:03:34,211.0,,214.0,40.0,40.0,59.0,34.0,1096.0,Entity Linker solution.,16.0,14,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,-2.0,,,,,,,,,,,,,,,,,, +871,Skater,oracle/Skater,interpretability,,https://github.com/oracle/Skater,https://github.com/oracle/Skater,UPL-1.0,2017-01-26 05:45:42.000,2023-09-18 15:13:22.392000,,,,182.0,,,72.0,,1067.0,Python Library for Model Interpretation/Explanations.,7.0,14,False,2018-09-21 07:03:32.000,1.1.2,23.0,skater,conda-forge/skater,,,,,,https://pypi.org/project/skater,2018-09-21 07:03:32.000,,379.0,1907.0,https://anaconda.org/conda-forge/skater,2023-09-18 15:13:22.392,62655.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +872,rliable,google-research/rliable,reinforcement-learning,,https://github.com/google-research/rliable,https://github.com/google-research/rliable,Apache-2.0,2021-08-20 00:41:06.000,2023-11-17 13:57:42.000000,2023-05-29 18:33:56,62.0,,42.0,11.0,8.0,3.0,11.0,651.0,"[NeurIPS21 Outstanding Paper] Library for reliable evaluation on RL and ML benchmarks, even with only a handful of..",6.0,14,True,,,,rliable`,,,,,105.0,105.0,https://pypi.org/project/rliable`,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +873,Adversary,airbnb/artificial-adversary,adversarial,,https://github.com/airbnb/artificial-adversary,https://github.com/airbnb/artificial-adversary,MIT,2018-08-08 04:42:11.000,2023-06-16 19:21:01.312000,2018-08-29 15:31:30,15.0,,57.0,19.0,6.0,6.0,,386.0,Tool to generate adversarial text examples and test machine learning models against them.,5.0,14,False,2018-08-29 15:14:41.000,1.1.1,3.0,Adversary,conda-forge/artificial-adversary,,,,9.0,8.0,https://pypi.org/project/Adversary,2018-08-29 15:14:41.000,1.0,61.0,203.0,https://anaconda.org/conda-forge/artificial-adversary,2023-06-16 19:21:01.312,5836.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +874,TorchDrift,torchdrift/torchdrift,pytorch-utils,,https://github.com/TorchDrift/TorchDrift,https://github.com/TorchDrift/TorchDrift,Apache-2.0,2021-02-10 09:27:48.000,2022-08-26 08:15:45.000000,2022-08-26 08:15:45,38.0,,15.0,11.0,6.0,9.0,6.0,298.0,Drift Detection for your PyTorch Models.,4.0,14,False,2021-03-08 12:21:48.000,0.1.0,3.0,torchdrift,,,,['pytorch'],26.0,26.0,https://pypi.org/project/torchdrift,2021-03-08 12:51:05.000,,116.0,116.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +875,backprop,backprop-ai/backprop,model-serialisation,,https://github.com/backprop-ai/backprop,https://github.com/backprop-ai/backprop,Apache-2.0,2020-10-30 15:25:14.000,2021-05-03 09:15:25.000000,2021-05-03 09:15:21,219.0,,11.0,16.0,14.0,5.0,4.0,238.0,"Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models.",8.0,14,False,2021-04-20 13:53:12.000,0.1.2,14.0,backprop,,,,,2.0,2.0,https://pypi.org/project/backprop,2021-04-20 13:53:12.000,,167.0,167.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +876,Headliner,as-ideas/headliner,nlp,,https://github.com/as-ideas/headliner,https://github.com/as-ideas/headliner,MIT,2019-09-30 11:33:28.000,2021-03-26 07:19:57.000000,2020-02-14 09:03:27,276.0,,41.0,17.0,7.0,2.0,13.0,230.0,Easy training and deployment of seq2seq models.,2.0,14,False,2020-01-24 09:06:29.000,1.0.2,30.0,headliner,,,,,5.0,4.0,https://pypi.org/project/headliner,2020-01-24 09:06:29.000,1.0,131.0,131.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +877,NeuralQA,victordibia/neuralqa,nlp,,https://github.com/victordibia/neuralqa,https://github.com/victordibia/neuralqa,MIT,2020-05-19 03:55:56.000,2023-06-07 20:12:03.000000,2020-12-16 17:41:37,312.0,,33.0,8.0,72.0,31.0,8.0,227.0,NeuralQA: A Usable Library for Question Answering on Large Datasets with BERT.,3.0,14,False,,,27.0,neuralqa,,,,,4.0,4.0,https://pypi.org/project/neuralqa,2020-09-18 17:54:50.000,,48.0,48.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +878,dabl,amueller/dabl,sklearn-utils,,https://github.com/amueller/dabl,https://github.com/amueller/dabl,BSD-3-Clause,2020-01-30 18:26:49.000,2023-02-28 01:21:32.000000,2023-02-24 00:50:55,299.0,,9.0,5.0,3.0,1.0,,127.0,Data Analysis Baseline Library.,23.0,14,False,2023-02-28 01:21:03.335,0.2.5,15.0,dabl,,,,['sklearn'],,,https://pypi.org/project/dabl,2022-11-03 05:52:04.962,,1068.0,1068.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +879,jaxdf,ucl-bug/jaxdf,jax-utils,,https://github.com/ucl-bug/jaxdf,https://github.com/ucl-bug/jaxdf,LGPL-3.0,2021-09-08 16:38:46.000,2023-12-04 12:24:59.000000,2023-11-24 19:47:45,314.0,14.0,7.0,8.0,124.0,7.0,9.0,99.0,A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations.,4.0,14,False,2023-11-24 19:49:33.000,0.2.7,9.0,,,,,['jax'],4.0,4.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +880,ENAS,carpedm20/ENAS-pytorch,hyperopt,,https://github.com/carpedm20/ENAS-pytorch,https://github.com/carpedm20/ENAS-pytorch,Apache-2.0,2018-02-15 04:54:37.000,2023-07-06 21:33:33.000000,2020-06-16 07:23:32,53.0,,478.0,110.0,12.0,39.0,8.0,2658.0,PyTorch implementation of Efficient Neural Architecture Search via Parameters Sharing.,6.0,13,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +881,ml-ane-transformers,apple/ml-ane-transformers,model-serialisation,,https://github.com/apple/ml-ane-transformers,https://github.com/apple/ml-ane-transformers,,2022-06-03 16:36:06.000,2023-04-25 09:24:38.000000,2022-08-09 04:03:14,5.0,,76.0,45.0,4.0,1.0,,2393.0,Reference implementation of the Transformer architecture optimized for Apple Neural Engine (ANE).,1.0,13,False,2022-08-09 04:22:55.000,0.1.3,4.0,ane-transformers,,,,['pytorch'],1.0,,https://pypi.org/project/ane-transformers,2022-08-09 04:22:00.465,1.0,2042.0,2044.0,,,,,,,,3.0,51.0,,,,,,,,,,,,,,,,,,, +882,traingenerator,jrieke/traingenerator,others,,https://github.com/jrieke/traingenerator,https://github.com/jrieke/traingenerator,MIT,2020-12-03 16:47:16.000,2023-08-23 08:35:09.000000,2022-06-30 14:05:23,118.0,,173.0,38.0,10.0,13.0,3.0,1326.0,A web app to generate template code for machine learning.,3.0,13,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +883,GraphVite,DeepGraphLearning/graphvite,graph,,https://github.com/DeepGraphLearning/graphvite,https://github.com/DeepGraphLearning/graphvite,Apache-2.0,2019-07-16 15:48:20.000,2023-06-16 16:16:18.265000,2021-01-14 02:18:46,15.0,,147.0,32.0,,51.0,59.0,1170.0,GraphVite: A General and High-performance Graph Embedding System.,1.0,13,False,,,4.0,,milagraph/graphvite,,,,,,,,,,90.0,https://anaconda.org/milagraph/graphvite,2023-06-16 16:16:18.265,4683.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +884,interpret-text,interpretml/interpret-text,interpretability,,https://github.com/interpretml/interpret-text,https://github.com/interpretml/interpret-text,MIT,2019-09-04 16:39:48.000,2023-10-02 18:06:17.000000,2023-10-02 18:06:17,148.0,2.0,66.0,20.0,169.0,87.0,17.0,385.0,A library that incorporates state-of-the-art explainers for text-based machine learning models and visualizes the..,17.0,13,True,2021-12-07 15:12:02.000,0.1.3,5.0,interpret-text,,,,['jupyter'],,,https://pypi.org/project/interpret-text,2021-12-07 01:57:31.000,,49.0,49.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +885,tsaug,arundo/tsaug,time-series-data,,https://github.com/arundo/tsaug,https://github.com/arundo/tsaug,Apache-2.0,2019-09-27 00:38:05.000,2023-01-11 11:16:16.000000,2020-04-17 02:46:38,10.0,,35.0,12.0,8.0,9.0,3.0,323.0,A Python package for time series augmentation.,4.0,13,False,2020-04-17 02:50:25.000,0.2.1,4.0,tsaug,,,,,2.0,,https://pypi.org/project/tsaug,2020-04-17 02:50:25.000,2.0,1026.0,1026.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +886,TransferNLP,feedly/transfer-nlp,nlp,,https://github.com/feedly/transfer-nlp,https://github.com/feedly/transfer-nlp,MIT,2019-03-12 20:00:31.000,2020-05-28 19:00:02.000000,2020-05-28 17:31:53,465.0,,19.0,12.0,57.0,4.0,20.0,290.0,NLP library designed for reproducible experimentation management.,7.0,13,False,2020-05-28 19:00:02.000,0.1.6,8.0,transfer-nlp,,,,['pytorch'],,,https://pypi.org/project/transfer-nlp,2020-05-28 19:00:02.000,,49.0,49.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +887,ONNX-T5,abelriboulot/onnxt5,nlp,,https://github.com/abelriboulot/onnxt5,https://github.com/abelriboulot/onnxt5,Apache-2.0,2020-08-01 09:38:35.000,2022-11-02 18:43:57.000000,2021-01-28 09:24:52,74.0,,28.0,8.0,6.0,8.0,8.0,239.0,"Summarization, translation, sentiment-analysis, text-generation and more at blazing speed using a T5 version..",4.0,13,False,2021-01-28 09:26:15.000,0.1.8,11.0,onnxt5,,,,,1.0,1.0,https://pypi.org/project/onnxt5,2021-01-28 09:26:15.000,,117.0,117.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +888,textvec,textvec/textvec,nlp,,https://github.com/textvec/textvec,https://github.com/textvec/textvec,MIT,2018-04-12 14:03:53.000,2023-07-06 21:22:20.000000,2022-07-05 09:43:05,72.0,,26.0,8.0,16.0,4.0,6.0,189.0,Text vectorization tool to outperform TFIDF for classification tasks.,11.0,13,False,2019-09-12 07:41:04.000,2.0,4.0,textvec,,,,['sklearn'],4.0,4.0,https://pypi.org/project/textvec,2020-12-03 14:17:09.000,,41.0,41.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +889,ModelChimp,ModelChimp/modelchimp,ml-experiments,,https://github.com/ModelChimp/modelchimp,https://github.com/ModelChimp/modelchimp,BSD-2-Clause,2018-11-05 08:39:03.000,2023-11-14 18:32:58.000000,2021-08-01 07:11:57,363.0,,12.0,5.0,1238.0,4.0,10.0,125.0,Experiment tracking for machine and deep learning projects.,3.0,13,False,2019-04-09 10:43:15.000,0.4.0,37.0,modelchimp,,modelchimp/modelchimp-server,,,,,https://pypi.org/project/modelchimp,2019-04-09 10:41:20.000,,70.0,80.0,,,,https://hub.docker.com/r/modelchimp/modelchimp-server,2019-04-09 10:15:09.532793,,657.0,3.0,,,,,,,,,,,,,,,,,,,, +890,DeepNeuro,QTIM-Lab/DeepNeuro,medical-data,,https://github.com/QTIM-Lab/DeepNeuro,https://github.com/QTIM-Lab/DeepNeuro,MIT,2017-06-01 19:36:34.000,2020-06-24 13:00:15.000000,2020-06-24 13:00:14,285.0,,33.0,14.0,18.0,27.0,16.0,117.0,A deep learning python package for neuroimaging data. Made by:.,6.0,13,False,2019-06-10 21:04:04.000,0.2.3,6.0,deepneuro,,,,,1.0,1.0,https://pypi.org/project/deepneuro,2019-06-10 21:04:04.000,,60.0,60.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +891,LazyCluster,ml-tooling/lazycluster,distributed-ml,,https://github.com/ml-tooling/lazycluster,https://github.com/ml-tooling/lazycluster,Apache-2.0,2019-08-07 08:05:13.000,2023-02-16 02:23:02.000000,2021-08-19 13:59:11,444.0,,12.0,7.0,20.0,3.0,,49.0,Distributed machine learning made simple.,2.0,13,False,2020-12-14 15:25:59.000,0.2.4,5.0,lazycluster,,,,,27.0,27.0,https://pypi.org/project/lazycluster,2020-12-14 14:49:33.000,,34.0,34.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +892,CometML,comet-ml/examples,ml-experiments,,,https://www.comet.com,,,2023-12-05 17:02:44.000000,,,,,,,,,,Supercharging Machine Learning.,,13,False,2023-11-10 20:37:22.000,3.35.3,269.0,comet_ml,comet_ml,,,,64.0,,https://pypi.org/project/comet_ml,2023-12-05 17:02:44.000,64.0,151155.0,151155.0,https://anaconda.org/anaconda/comet_ml,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +893,MedicalNet,Tencent/MedicalNet,medical-data,,https://github.com/Tencent/MedicalNet,https://github.com/Tencent/MedicalNet,MIT,2019-07-17 09:53:10.000,2023-07-06 21:26:54.000000,2020-08-27 13:37:26,26.0,,399.0,64.0,6.0,62.0,17.0,1747.0,Many studies have shown that the performance on deep learning is significantly affected by volume of training data...,1.0,12,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +894,surpriver,tradytics/surpriver,financial-data,,https://github.com/tradytics/surpriver,https://github.com/tradytics/surpriver,GPL-3.0,2020-08-30 07:56:22.000,2021-08-13 08:02:31.000000,2020-09-21 04:32:05,64.0,,305.0,87.0,11.0,12.0,6.0,1661.0,Find big moving stocks before they move using machine learning and anomaly detection.,6.0,12,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +895,deltapy,firmai/deltapy,tabular,,https://github.com/firmai/deltapy,https://github.com/firmai/deltapy,MIT,2020-04-08 05:27:53.000,2023-09-19 11:11:53.000000,2022-03-01 16:13:48,42.0,,51.0,16.0,3.0,2.0,1.0,517.0,DeltaPy - Tabular Data Augmentation (by @firmai).,4.0,12,False,2020-11-12 16:13:21.000,zen,11.0,deltapy,,,,,3.0,3.0,https://pypi.org/project/deltapy,2020-04-09 01:48:32.000,,120.0,120.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +896,Maze,enlite-ai/maze,reinforcement-learning,,https://github.com/enlite-ai/maze,https://github.com/enlite-ai/maze,Custom,2021-02-11 08:26:37.000,2023-11-30 11:44:01.000000,2022-11-21 12:12:41,1044.0,,11.0,6.0,26.0,1.0,2.0,250.0,Maze Applied Reinforcement Learning Framework.,3.0,12,False,2022-11-21 12:23:00.858,0.2.0,21.0,maze-rl,,enliteai/maze,,['pytorch'],2.0,2.0,https://pypi.org/project/maze-rl,2021-12-13 16:04:42.000,,39.0,46.0,,,,https://hub.docker.com/r/enliteai/maze,2021-06-24 21:00:27.801118,,242.0,3.0,,,,,,,,,,,,,,,,,,,, +897,Auptimizer,LGE-ARC-AdvancedAI/auptimizer,hyperopt,,https://github.com/LGE-ARC-AdvancedAI/auptimizer,https://github.com/LGE-ARC-AdvancedAI/auptimizer,GPL-3.0,2019-09-12 01:08:37.000,2023-01-27 02:15:43.000000,2021-03-03 01:30:06,79.0,,26.0,22.0,44.0,1.0,5.0,198.0,An automatic ML model optimization tool.,11.0,12,False,2021-03-03 02:00:23.000,2.0,7.0,auptimizer,,,,,,,https://pypi.org/project/auptimizer,2021-03-02 02:40:32.000,,60.0,60.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +898,Attribution Priors,suinleelab/attributionpriors,interpretability,,https://github.com/suinleelab/attributionpriors,https://github.com/suinleelab/attributionpriors,MIT,2019-06-24 23:54:24.000,2021-03-19 19:43:58.000000,2021-03-19 19:43:51,72.0,,9.0,6.0,,2.0,4.0,115.0,Tools for training explainable models using attribution priors.,6.0,12,False,2021-03-16 17:47:18.000,1.0.0,4.0,attributionpriors,,,,"['tensorflow', 'pytorch']",4.0,4.0,https://pypi.org/project/attributionpriors,2019-10-31 18:03:05.000,,81.0,81.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +899,spacy-dbpedia-spotlight,MartinoMensio/spacy-dbpedia-spotlight,nlp,,https://github.com/MartinoMensio/spacy-dbpedia-spotlight,https://github.com/MartinoMensio/spacy-dbpedia-spotlight,MIT,2020-04-29 19:35:04.000,2023-03-24 11:33:01.000000,2023-03-24 11:32:56,55.0,,11.0,7.0,4.0,5.0,14.0,93.0,A spaCy wrapper for DBpedia Spotlight.,5.0,12,False,2023-03-08 10:33:19.000,0.2.6,11.0,spacy-dbpedia-spotlight,,,,['spacy'],,,https://pypi.org/project/spacy-dbpedia-spotlight,2022-10-07 09:58:11.751,,634.0,634.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +900,contextual-ai,SAP/contextual-ai,interpretability,,https://github.com/SAP/contextual-ai,https://github.com/SAP/contextual-ai,Apache-2.0,2020-05-12 07:15:56.000,2023-07-23 16:23:34.000000,2021-11-11 10:53:33,630.0,,11.0,13.0,26.0,4.0,13.0,84.0,"Contextual AI adds explainability to different stages of machine learning pipelines - data, training, and inference -..",12.0,12,False,2021-01-25 04:56:57.000,0.0.2,2.0,contextual-ai,,,,,,,https://pypi.org/project/contextual-ai,2021-01-25 04:56:57.000,,36.0,36.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +901,nylon,Palashio/nylon,others,,https://github.com/Palashio/nylon,https://github.com/Palashio/nylon,MIT,2021-06-04 17:33:49.000,2021-07-29 20:34:04.000000,2021-07-23 19:37:10,185.0,,8.0,7.0,4.0,14.0,18.0,84.0,"An intelligent, flexible grammar of machine learning.",3.0,12,False,2021-06-25 14:27:32.000,0.0.7,8.0,nylon-ai,,,,,,,https://pypi.org/project/nylon-ai,2021-06-25 14:27:32.000,,57.0,57.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +902,nptsne,biovault/nptsne,data-viz,,https://github.com/biovault/nptsne,https://github.com/biovault/nptsne,Apache-2.0,2019-06-28 08:40:25.000,2023-07-14 11:30:56.000000,2021-02-03 08:52:27,857.0,,2.0,3.0,3.0,7.0,6.0,30.0,nptsne is a numpy compatible python binary package that offers a number of APIs for fast tSNE calculation.,3.0,12,False,2021-12-23 15:53:08.000,1.2.0,3.0,nptsne,,,,,6.0,6.0,https://pypi.org/project/nptsne,2021-12-23 15:53:08.000,,78.0,78.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +903,model_search,google/model_search,hyperopt,,https://github.com/google/model_search,https://github.com/google/model_search,Apache-2.0,2021-01-19 18:26:34.000,2023-03-14 16:25:22.000000,2022-02-09 22:20:11,9.0,,416.0,96.0,17.0,48.0,15.0,3252.0,AutoML algorithms for model architecture search at scale.,1.0,11,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +904,Devol,joeddav/devol,hyperopt,,https://github.com/joeddav/devol,https://github.com/joeddav/devol,MIT,2017-02-10 03:07:54.000,2023-05-25 14:45:47.000000,2020-07-05 21:56:58,116.0,,112.0,47.0,13.0,7.0,20.0,949.0,Genetic neural architecture search with Keras.,18.0,11,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +905,PySparNN,facebookresearch/pysparnn,nn-search,,https://github.com/facebookresearch/pysparnn,https://github.com/facebookresearch/pysparnn,BSD-3-Clause,2016-03-28 20:43:42.000,2020-10-02 06:01:01.000000,2018-01-31 16:50:23,147.0,,143.0,39.0,7.0,15.0,14.0,908.0,Approximate Nearest Neighbor Search for Sparse Data in Python!.,5.0,11,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +906,autodist,petuum/autodist,distributed-ml,,https://github.com/petuum/autodist,https://github.com/petuum/autodist,Apache-2.0,2020-06-29 19:45:38.000,2022-09-23 22:45:06.000000,2021-01-28 00:04:40,208.0,,24.0,16.0,51.0,11.0,1.0,129.0,Simple Distributed Deep Learning on TensorFlow.,11.0,11,False,,,2.0,autodist,,,,['tensorflow'],1.0,1.0,https://pypi.org/project/autodist,2020-07-16 05:36:19.000,,38.0,38.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +907,Hypermax,electricbrainio/hypermax,hyperopt,,https://github.com/genixpro/hypermax,https://github.com/genixpro/hypermax,BSD-3-Clause,2018-07-27 18:43:01.000,2023-09-21 17:36:41.000000,2023-09-21 17:36:39,208.0,1.0,13.0,13.0,5.0,3.0,2.0,111.0,"Better, faster hyper-parameter optimization.",8.0,11,False,2019-10-23 15:40:12.000,0.5.1,11.0,hypermax,,,,,4.0,4.0,https://pypi.org/project/hypermax,2019-10-23 15:40:12.000,,49.0,49.0,,,,,,,,3.0,,,,genixpro/hypermax,,,,,,,,,,,,,,,, +908,bias-detector,intuit/bias-detector,interpretability,,https://github.com/intuit/bias-detector,https://github.com/intuit/bias-detector,MIT,2021-02-02 16:58:52.000,2022-09-29 08:50:58.000000,2022-09-29 08:50:40,122.0,,12.0,12.0,15.0,,,42.0,Bias Detector is a python package for detecting bias in machine learning models.,4.0,11,False,2021-04-22 15:20:54.000,0.0.12,11.0,bias-detector,,,,,1.0,1.0,https://pypi.org/project/bias-detector,2021-04-22 15:20:54.000,,105.0,105.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +909,Mozart,aashrafh/Mozart,ocr,,https://github.com/aashrafh/Mozart,https://github.com/aashrafh/Mozart,Apache-2.0,2020-12-14 11:49:14.000,2022-08-24 18:18:43.000000,2022-08-24 18:18:43,62.0,,76.0,19.0,5.0,3.0,12.0,522.0,An optical music recognition (OMR) system. Converts sheet music to a machine-readable version.,6.0,10,False,,,,,,,,['sklearn'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +910,textlesslib,facebookresearch/textlesslib,audio,,https://github.com/facebookresearch/textlesslib,https://github.com/facebookresearch/textlesslib,MIT,2022-02-09 16:28:00.000,2023-08-29 14:47:49.000000,2023-08-29 14:47:44,37.0,,48.0,14.0,13.0,8.0,9.0,471.0,Library for Textless Spoken Language Processing.,8.0,10,True,,,,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +911,moolib,facebookresearch/moolib,distributed-ml,,https://github.com/facebookresearch/moolib,https://github.com/facebookresearch/moolib,MIT,2021-08-26 09:15:58.000,2022-12-12 15:07:44.000000,2022-12-12 15:07:38,41.0,,20.0,12.0,41.0,7.0,12.0,362.0,A library for distributed ML training with PyTorch.,6.0,10,True,2022-02-10 16:56:22.000,0.0.9c,1.0,,,,,['pytorch'],3.0,3.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +912,pyrtfolio,alvarobartt/pyrtfolio,financial-data,,https://github.com/alvarobartt/pyrtfolio,https://github.com/alvarobartt/pyrtfolio,GPL-3.0,2019-10-06 20:22:12.000,2022-05-14 21:32:20.000000,2020-11-20 09:58:41,19.0,,25.0,7.0,2.0,2.0,6.0,139.0,Python package to generate stock portfolios.,4.0,9,False,2020-03-13 20:04:08.000,0.2,3.0,pyrtfolio,,,,,,,https://pypi.org/project/pyrtfolio,2020-03-13 20:31:47.000,,25.0,25.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +913,Hypertunity,gdikov/hypertunity,hyperopt,,https://github.com/gdikov/hypertunity,https://github.com/gdikov/hypertunity,Apache-2.0,2019-06-02 12:04:55.000,2020-01-26 23:14:49.000000,2020-01-26 22:53:29,64.0,,10.0,10.0,44.0,,2.0,135.0,A toolset for black-box hyperparameter optimisation.,2.0,9,False,2020-01-26 23:08:16.000,1.0.1,7.0,hypertunity,,,,,2.0,2.0,https://pypi.org/project/hypertunity,2020-01-26 23:08:16.000,,21.0,21.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +914,tslumen,hsbc/tslumen,time-series-data,,https://github.com/hsbc/tslumen,https://github.com/hsbc/tslumen,Apache-2.0,2022-11-09 14:06:09.000,2022-11-23 19:03:57.000000,2022-11-22 16:44:39,2.0,,4.0,6.0,,1.0,,54.0,A library for Time Series EDA (exploratory data analysis).,2.0,8,False,2022-11-22 17:50:34.944,0.0.1,1.0,tslumen,conda-forge/tslumen,,,,1.0,,https://pypi.org/project/tslumen,2022-11-22 17:50:34.944,1.0,34.0,34.0,https://anaconda.org/conda-forge/tslumen,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +915,traintool,jrieke/traintool,ml-experiments,,https://github.com/jrieke/traintool,https://github.com/jrieke/traintool,Apache-2.0,2020-09-30 22:23:05.000,2021-03-12 01:44:04.000000,2021-03-12 01:43:14,122.0,,1.0,4.0,,,,12.0,Train off-the-shelf machine learning models in one line of code.,,8,False,2020-11-02 02:25:32.000,0.0.3,3.0,traintool,,,,"['pytorch', 'tensorflow', 'sklearn']",,,https://pypi.org/project/traintool,2020-11-02 02:25:32.000,,18.0,18.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, diff --git a/latest-changes.md b/latest-changes.md index 8170129a..fa73eb0d 100644 --- a/latest-changes.md +++ b/latest-changes.md @@ -2,29 +2,29 @@ _Projects that have a higher project-quality score compared to the last update. There might be a variety of reasons, such as increased downloads or code activity._ -- Gradio (🥇43 · ⭐ 24K · 📈) - Wrap UIs around any model, share with anyone. Apache-2 -- PyFlink (🥈38 · ⭐ 22K · 📈) - Apache Flink Python API. Apache-2 -- CuPy (🥇38 · ⭐ 7.4K · 📈) - NumPy & SciPy for GPU. MIT -- fastText (🥈35 · ⭐ 25K · 📈) - Library for fast text representation and classification. MIT -- StatsForecast (🥇33 · ⭐ 3.2K · 📈) - Lightning fast forecasting with statistical and.. Apache-2 -- lightly (🥈31 · ⭐ 2.6K · 📈) - A python library for self-supervised learning on images. MIT -- geojson (🥉31 · ⭐ 850 · 📈) - Python bindings and utilities for GeoJSON. BSD-3 -- hmmlearn (🥈30 · ⭐ 2.9K · 📈) - Hidden Markov Models in Python, with scikit-learn like API. BSD-3 -- openTSNE (🥉27 · ⭐ 1.3K · 📈) - Extensible, parallel implementations of t-SNE. BSD-3 -- benchmark_VAE (🥉24 · ⭐ 1.5K · 📈) - Unifying Variational Autoencoder (VAE).. Apache-2 +- scipy (🥇49 · ⭐ 12K · 📈) - Ecosystem of open-source software for mathematics, science, and.. BSD-3 +- Keras (🥇47 · ⭐ 60K · 📈) - Deep Learning for humans. Apache-2 +- Fastai (🥈40 · ⭐ 25K · 📈) - The fastai deep learning library. Apache-2 +- Coqui TTS (🥇38 · ⭐ 24K · 📈) - - a deep learning toolkit for Text-to-Speech, battle-.. MPL-2.0 +- SpeechRecognition (🥈34 · ⭐ 7.7K · 📈) - Speech recognition module for Python, supporting.. BSD-3 +- PennyLane (🥈34 · ⭐ 2K · 📈) - PennyLane is a cross-platform Python library for differentiable.. Apache-2 +- igraph (🥇34 · ⭐ 1.2K · 📈) - Python interface for igraph. ❗️GPL-2.0 +- hnswlib (🥈33 · ⭐ 3.7K · 📈) - Header-only C++/python library for fast approximate nearest.. Apache-2 +- patsy (🥈32 · ⭐ 900 · 📈) - Describing statistical models in Python using symbolic formulas. BSD-2 +- Torchbearer (🥉25 · ⭐ 630 · 📈) - torchbearer: A model fitting library for PyTorch. MIT ## 📉 Trending Down _Projects that have a lower project-quality score compared to the last update. There might be a variety of reasons such as decreased downloads or code activity._ -- Matplotlib (🥇50 · ⭐ 18K · 📉) - matplotlib: plotting with Python. Python-2.0 -- scipy (🥇47 · ⭐ 12K · 📉) - Ecosystem of open-source software for mathematics, science, and.. BSD-3 -- Keras (🥇46 · ⭐ 60K · 📉) - Deep Learning for humans. Apache-2 -- Fastai (🥈38 · ⭐ 25K · 📉) - The fastai deep learning library. Apache-2 -- Coqui TTS (🥇36 · ⭐ 23K · 📉) - - a deep learning toolkit for Text-to-Speech, battle-.. MPL-2.0 -- haystack (🥈35 · ⭐ 12K · 📉) - LLM orchestration framework to build customizable, production-.. Apache-2 -- Face Recognition (🥈33 · ⭐ 50K · 💀) - The worlds simplest facial recognition api for Python.. MIT -- BioPandas (🥉23 · ⭐ 650 · 📉) - Working with molecular structures in pandas DataFrames. BSD-3 -- Pytorch Toolbelt (🥉22 · ⭐ 1.4K · 📉) - PyTorch extensions for fast R&D prototyping and.. MIT -- AlphaPy (🥉18 · ⭐ 980 · 📉) - Automated Machine Learning [AutoML] with Python, scikit-learn,.. Apache-2 +- DeepSpeed (🥇40 · ⭐ 30K · 📉) - DeepSpeed is a deep learning optimization library that.. Apache-2 +- Annoy (🥈33 · ⭐ 12K · 📉) - Approximate Nearest Neighbors in C++/Python optimized for memory.. Apache-2 +- ParlAI (🥈31 · ⭐ 10K · 📉) - A framework for training and evaluating AI models on a variety of.. MIT +- VisualDL (🥉28 · ⭐ 4.7K · 📉) - Deep Learning Visualization Toolkit. Apache-2 +- CuPy (🥈26 · ⭐ 7.4K · 📉) - NumPy & SciPy for GPU. MIT +- mtcnn (🥉26 · ⭐ 2.1K · 💀) - MTCNN face detection implementation for TensorFlow, as a PIP.. MIT +- pyts (🥉26 · ⭐ 1.6K · 📉) - A Python package for time series classification. BSD-3 +- DeepSpeech (🥉22 · ⭐ 23K · 📉) - DeepSpeech is an open source embedded (offline, on-.. MPL-2.0 +- sklearn-contrib-lightning (🥉20 · ⭐ 1.7K · 💀) - Large-scale linear classification, regression and.. BSD-3 +- BLINK (🥉14 · ⭐ 1.1K · 💀) - Entity Linker solution. MIT